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Tokyo Medical and Dental University (TMDU)

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Bunkyoku, Japan
401–500th in World University Rankings 2025
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About Tokyo Medical and Dental University (TMDU)

Basic information and contact details for Tokyo Medical and Dental University (TMDU)

institution

TMDU is a medical training and research facility based in Tokyo, and its beginnings can be traced back to the Eiraku Hospital, opened in 1899. The school of dentistry was opened in 1928 as the first of its kind in Japan, and currently TMDU is Japan’s only graduate school of medical and dental sciences.

The university’s logo is in the shape of a plum blossom which is the symbol of the Yushima Tenjin, the shrine to the god of knowledge which exists on the site. There are five petals in the blossom representing TMDU’s five faculties; Medicine, Dentistry, Liberal Arts and Sciences, Biomaterials and Bioengineering, and the Medical Research Institute.

Entrance into TMDU for full time students is predicated with a foundation year at the Liberal Arts and Sciences college on Kounodai campus. This is another unique aspect of the student experience in Japan, as aspiring medical professionals are taught modules outside of their specified majors, learning techniques and fields such as ethical standards and contemporary discussions in science and nature.

Some of the most pioneering medical research in Japan is conducted at TMDU. In 2014 a team at the department of Molecular Biology identified the key gene to cause the ageing induced bone loss ofosteoporosis. The university’s Medical Hospital still runs 24 hours a day, with a focus on critical care and serving those in the community.

TMDU has an active exchange programme with Imperial College London, a highly regarded world university, and each year students from TMDU travel to Imperial to engage in research activities lasting three to five months.

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Key Student Statistics

A breakdown of student statistics at Tokyo Medical and Dental University (TMDU)

gender ratio
Student gender ratio
52 F : 48 M (1)
globe fill
International student percentage
12% (1)
student per staff
Students per staff
4.2 (1)
student
Student total
2920 (1)

Based on data collected for the (1) World University Rankings 2025

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GCZSC - Postdoc in Field-Based Boron and Potassium Biogeochemistry

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Area of specialization: Critical Zone is the “heterogeneous, near-surface environment in which complex interactions involving rock, soil, water, air, and living organisms regulate the natural habitat and determine availability of life-sustaining resources”. Its limits range from the top of the canopy down to the bottom of the aquifer. The successful applicant to this position will join the Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests cover 1/3 of the continental surfaces and play a crucial environmental role both at local and global scales. Forests sequester 25% of the carbon injected each year to the atmosphere by human activities and thus regulate the Earth’s global climate at short time scales. In its 2022 report for policymakers, the Word Resource Institute (Seymour et al., 2022) draws attention to the fact that forests do not only play a role by absorbing carbon from the atmosphere but also influence global and local temperature, rainfall patterns through albedo, evapotranspiration (forest ecosystems provide 2/3 of the continent precipitation), surface roughness and aerosols emission. At longer timescales, forests, via the formation of soil organic matter, erosion and deposition in the ocean, play an essential role in the regulation of climate at the geological time scale. As a consequence, protection and better management of forests is crucial for climate warming mitigation through carbon sequestration, as well as for other ecosystem services such as wood production or recreation. However, forests are “not just carbon”. For forests to play their role on the planet, not only do they need carbon withdrawn from the atmosphere and water from the soil, but they also require a number of major and minor nutrients. Among the factors that limit the energetic yield of photosynthesis to 0.1%, and thus the productivity of forest ecosystems, the availability of soil nutrients is probably one of the most important. With the exception of nitrogen (N) that can be fixed from the atmosphere, major nutrients such as potassium (K), silicon (Si), phosphorus (P) or minor nutrients such as metals (zinc, Zn; magnesium, Mg; calcium, Ca; boron, B; molybdenum, Mo,…) are ultimately derived from the transformation of soil minerals into secondary phases such as cation-poor clays and oxides, a process known as chemical weathering and taking place in soils or affecting atmospheric mineral aerosols. There is now ample evidence that forests are under increasing nutritional stress (Penuelas et al., 2020). The limitation of forest productivity by nutrients like N and P has been extensively studied (Du et al., 2020; Hou et al, 2020), while the role of other mineral-derived nutrients has attracted less studies. This situation is all the more critical now that we know that the pure “liebigian” limitation (one factor limits the growth) is not true for most ecosystems (Wurzburger et al., 2012), implying that the effect of other nutrients and micronutrients must be studied in detail. Hence a prerequisite for our ability to assess forest ecosystem evolution and maintenance of biomass productivity of agroforests, in the face of environmental change, is a better understanding of how plant nutrient requirements are met beyond C, N, and P. K is one of those mineral nutrients that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems based on the balance between organic (dead biomass recycling) and mineral (chemical weathering or added sources by fertilization) sources. To achieve this goal the project aims at make use of isotopes, in particular boron isotopes, and potentially K isotopes. Recently, the analytical and conceptual development of so-called non-traditional stable isotopes opened up a new avenue for the study of nutrient cycling in forest ecosystems, the main idea being that biogeochemical processes will generate measurable discriminations between metal isotopes that can be used to trace their routes through living individuals, ecosystems, or the critical zone (e.g. Cividini et al. 2010, Dessert et al., 2015). In this respect, the trace element boron (B) appears as a powerful tool as it is a micronutrient involved in a wide variety of physiological processes where it undergoes significant isotopic fractionation of the two stable isotopes: 10B and 11B (Gaillardet et Lemarchand, 2018, Roux et al., 2021, Chetelat et al., 2021). In the Eucalypus stands, Boron is frequently added to the soil as it has been observed that boron fertilization improves the resistance of the trees to drought. The aim of the project is to focus on forest plantations as a “model forest” to better understand the behavior of boron and other major nutrients (and in particular potassium) and how their cycles is linked to the ecosystem services. It is coupling experimentation, isotopic measurements and modeling aspects taking advantage of a network of international collaboration and collaborations with the private sector. Importantly, this project is associated to a broader project funded by the French National Research Agency (Nutribor project, PI Pr. Jérôme Gaillardet) which aims at applying boron isotopes to a range of critical zone observatories covering environmental and geological gradients. The successful postdoc will integrate the scientific community of the Nutribor project.  Briefly, the Nutribor project consists of different workpackages. 1/in-situ experimentation at the Ile de France Ecotron near Paris. 2/ boron isotope measurements in the critical zone of three natural catchments from the OZCAR network (French Critical Zone Observatory network) in Northern France, Southern France and the French Lesser Antilles. 2/ecophysiological and reactive transport modelling. The postdoctoral work will particularly be interesting for the comparison with the controlled experiments at the Ecotron facility near Paris. It will benefit for a pluridisciplinary research environment.  Eucalyptus plantations in Brazil and methodology: Brazil has one of the world’s largest surface areas of planted forest (9.9 million ha), of which more than 70 % is covered by eucalyptus (Pena-Vergara et al. 2022). These fast-growing forest plantations have high wood productivity, coming from the intensive management practices including short rotation, fertilization and genotype selection. These plantations are providing an increasing share of wood biomass for producing pulp and paper, charcoal, firewood, and panels. The rapid growth rates of eucalyptus with large wood exports at harvest make this ecosystem particularly interesting for studying and modeling biogeochemical cycles (Cornut et al. 2021), and poses important challenges in finding the right levels of fertilization to limit their environmental impact. Boron-poor soils are commonly found in the ‘Cerrados’ region of Brazil, where there is the greatest expansion of eucalyptus spp plantations on degraded pastures (José et al. 2009, da Silva Damasceno et al. 2023). Boron is one of the most limiting nutrients to eucalyptus seedling growth in these soils (Sgarbi et al. 1999, Sakya et al. 2002). Fertilization in boron is therefore necessary in the more depleted soils, but is also important in other areas where chemical weathering is no longer sufficient for sustaining the high exportations. The primary field site in Brazil, EucFlux, is a 200 Ha Eucalyptus instrumented plantation that has been highly monitored since 2008 with an eddy-covariance flux tower together with numerous ancillary data related to water, carbon and nutrient cycles (Christina et al. 2017). The soils at this site are deep Ferrasols (FAO classification) developed on Cretaceous sandstone, with approximately 80 % sand content down to the water table at 17 m. The mean annual rainfall is 1430 mm year-1. Harvest is planned for September 2025, following which a nutrient omission design for boron and potassium will be included for the next plantation cycle (of 6-7 years). The primary objectives of the postodoctoral work at this site will be to use existing infrastructure and additional experimental equipment to establish a partial boron mass balance at two developmental stages of Eucalyptus spp subject to different fertilization regimes: in a mature fertilized Eucalyptus spp stand after canopy closure in the final months leading to harvest, from January to September 2025, as well as post-harvest over the early developmental stages of the same clone of a Eucalyptus spp plantation subject to a fertilization design with boron and potassium omissions (Figure 1). Figure 1. Schematic design of nutrient omission in the Eucflux experiment made in collaboration with the private companies of forest exploitation. Various critical zone compartments will be analysed for B content and isotopic signature, as well as for the various macro- and micronutrient contents of these compartments (soil, soil water, different parts of the vegetation, rivers). More specifically, soils will be collected at four depths to 150 cm and multiple belowground and aboveground tree compartments at these different development stages (roots at three depths, branch wood & branch bark, stem wood & stem bark, leaves (high canopy and low canopy), and monthly litterfall samples. In addition, will be collected monthly composite samples of : 1/throughfall (using a funnel system connected to reservoirs), 2/stemflow (using PVC pipes spiraling down a section of the trunk to reservoirs), 3/soil solutions (using gravitational flow to lysimetric plates at the litterfall-soil surface interface and at 15 cm, with collections planned for further analyses at 40 cm and 100 cm post-harvest), 3/atmospheric deposition (with a receptor above the tree canopies at the top of the flux tower), 4/groundwater samples (collected via the piezometers using a weighted tube receptor). In addition, samples will be collected from water points and micro-watersheds in Itatinga close to the EucFlux site during the second phase of the project. In parallel, experiments will be run at the Ecotron (Ile de Paris) that will allow various levels boron application, as well as drought simulation to be applied to these eucalyptus (of the same clone, AEC144). Running these experiments in parallel will be of great value, between the precisely contrived conditions of the Ecotron to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and experimentations in Ecotron will allow boron fractionation between different soil, tree and water reservoir compartments to be determined, as well as the relationship between boron and other macro- and micronutrients will be evaluated. These findings have the potential to improve knowledge on the nature of nutritional dynamics in these Eucalyptus plantations in typically nutrient-deficient soils and subject to the increasing intensity and frequency of droughts. Boron isotopic measurements, major elements and complementary analyses will be conducted in Brazil as much as possible. These measurements will open perspectives of of collaboration with a modelling team at Cirad.  Job application: The Global Critical Zone Science Chair at the Mohammed VI Polytechnic University (UM6P) invites applications for a two years postdoc fellowship (candidates from Moroccan or African universities). The successful applicant will conduct research on the boron and potassium biogeochemistry in the critical zone of instrumented sites in Brazil. He.She will be mostly based in Brazil. The different compartments of the system will be investigated (soil, vegetation, soil pore water, river water) in the framework of the in-situ research experiment described above. The work will be done in collaboration with international teams and teams in Brazil. Boron isotopic measurements will be made in Brazil at least in a routine phase. Collaboration will also associate the private sector in charge of the forest exploitations. High precision isotopic measurements will be conducted. The candidate must have a background in either isotope geochemistry and if possible, an experience working with MCICPMS. The candidate is expected to adopt a system approach in its way to understand the behavior of boron and other nutrients in the studied agrosystems (/planted forestry systems). Modeling skills will be appreciated even if the main part of the postdoctoral work in field and lab-related. Writing skills are necessary as the results of the postdoctoral work will be published in high standard scientific journals. Criteria of the candidate: PhD in environmental science, soil science, surface geochemistry, or related fields from a recognized Moroccan or African university. At least one or two high publications record in international well-ranked journals Significant knowledge in environmental science studies, including experienced in soil field work and abilities in isotopic geochemistry techniques and/or modeling capabilities. Excellent verbal and written communication skills in English. Skilled in both field and lab work Proactive, ethic, and respectful person Tentative Schedule: Year 1 1 Collection of flux data B isotopic analysis, macro- and micronutrient analysis Monitoring and analysis of flux data 2 Collection of flux data B isotopic analysis, macro- and micronutrient analysis Monitoring and analysis of flux data 3 Monitoring and analysis of flux data Relationship between B and other macro- and micronutrients 4  Monitoring and analysis of flux data Relationship between B and other macro- and micronutrients Modelling boron and potassium fluxes Year 2 1 Monitoring and analysis of flux data Establishment of boron and potassium budgets Relationship between B and other macro- and micronutrients Paper 1: Boron budget in tropical soil-tree planted systems. Modelling boron and potassium fluxes  Paper 2: Boron and potassium dynamics in a planted tropical forestry system 2. 2 Monitoring and analysis of flux data Establishment of boron and potassium budgets Relationship between B and other macro- and micronutrients Paper 1: Boron budget in tropical soil-tree planted systems Modelling boron and potassium fluxes Paper 2: Boron and potassium dynamics in a planted tropical forestry system 2. 3 Relationship between B and other macro- and micronutrients Paper 1: Boron budget in tropical soil-tree planted systems. Modelling boron and potassium fluxes Paper 2: Boron and potassium dynamics in a planted tropical forestry system 2. Executive summary for policy makers 4  Paper 2: Boron and potassium dynamics in a planted tropical forestry system 2. Executive summary for policy makers Final report References: Chetelat, B., Gaillardet, J., Chen, J.Bin, 2021. Dynamic of boron in forest ecosystems traced by its isotopes: a modeling approach. Chem. Geol. 560, 119994. https://doi.org/10.1016/j.chemgeo.2020.119994. Christina, M., Nouvellon, Y., Laclau, J. P., Stape, J. L., Bouillet, J. P., Lambais, G. R., & Le Maire, G. (2017). Importance of deep water uptake in tropical eucalypt forest. Functional Ecology, 31(2), 509-519. Cividini D., D. Lemarchand, F. Chabaux, R. Boutin, M.-C. Pierret (2010) From biological to lithological control of the B geochemical cycle in a forest watershed (Strengbach, Vosges) Geochimica et Cosmochimica Acta 74 3143– 3163  Cornut, I., Le Maire, G., Laclau, J. P., Guillemot, J., Mareschal, L., Nouvellon, Y., & Delpierre, N. (2021). Potassium limitation of wood productivity: A review of elementary processes and ways forward to modelling illustrated by Eucalyptus plantations. Forest Ecology and Management, 494, 119275. Cornut I. et al. (2022a) Potassium-limitation of forest productivity, part 1: A mechanistic model simulating the effects of potassium availability on canopy carbon and water fluxes in tropical eucalyptus stands. EGUsphere, 1-37. Cornut I. et al. (2022b). Potassium-limitation of forest productivity, part 2: CASTANEA-MAESPA-K shows a reduction in photosynthesis rather than a stoichiometric limitation of tissue formation. EGUsphere, 1-27 Dessert et al. (2025), Geochim. et Cosmochim. Acta 171, 216–237 Du, E., Terrer, C., Pellegrini, A. F. A., Ahlström, A., van Lissa, C. J., Zhao, X., Xia, N., Wu, X., and Jackson, R. B. (2020). Global patterns of terrestrial nitrogen and phosphorus limitation. Nature Geoscience, 13(3):221–226. Gaillardet J. and Lemarchand D. (2018) Boron the weathering environments. In Boron isotopes, the fifth element. Springer ISBN 978-3-319-64664-0 Hou  et al. (2020), Nature communications 11, 637. José, J. F. B. D. S., Silva, I. R. D., Barros, N. F. D., Novais, R. F., Silva, E. F., Smyth, T. J., ... & Gebrim, F. O. (2009). Boron mobility in eucalyptus clones. Revista Brasileira de Ciência do Solo, 33, 1733-1744.Lemarchand, D., Cividini, D., Turpault, M. P., & Chabaux, F. (2012). Boron isotopes in different grain size fractions: Exploring past and present water–rock interactions from two soil profiles (Strengbach, Vosges Mountains). Geochimica et Cosmochimica Acta, 98, 78-93.  Pena-Vergara, G., Castro, L. R., Gasparetto, C. A., & Bizzo, W. A. (2022). Energy from planted forest and its residues characterization in Brazil. Energy, 239, 122243. Penuelas et al. (2020), Communications Biology 3, 125. Sakya, A. T., Dell, B., & Huang, L. (2002). Boron requirements for Eucalyptus globulus seedlings. Plant and soil, 246, 87-95. Sgarbi, F., Silveira, R. L. V. A., Takahashi, E. N., & Camargo, M. D. (1999). Crescimento e produção de biomassa de clone de Eucalyptus grandis x Eucalyptus urophylla em condições de deficiência de macronutrientes, B e Zn. Scientia Forestalis, 56(1), 69-82. da Silva Damasceno, A. S., Boechat, C. L., de Souza, H. A., Capristo-Silva, G. F., de Sousa Mendes, W., Teodoro, P. E., ... & da Silva Junior, C. A. (2023). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P., Lemarchand, D., Redon, P. O., & Turpault, M. P. (2022). B and δ11B biogeochemical cycle in a beech forest developed on a calcareous soil: Pools, fluxes, and forcing parameters. Science of the Total Environment, 806, 150396. Seymour et al. (2022), Not just carbon, https://doi.org/10.46830/wrirpt.19.00004 Wurzburger et al. (2012), PLOS ONE 7, e33710

Salary

Competitive

Posted

9 Apr 2026

Research Fellow (Bioinformatics) - TRZ1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are looking for a passionate and self-motivated candidate to join our team as a Research Fellow. The candidate will be involved in research and development in the area of single-cell analysis technology and will also collaborate with clinical partners on the testing and validation of these technologies.  Key responsibilities include:  Research and development of novel single cell technologies for biomedical applications Collaborate with clinical partners on the testing and validation of the technologies Mentor, supervise and train junior staff members and students Prepare research manuscripts, presentations and grant proposals Other ad hoc duties that may be assigned Requirements PhD degree in biomedical engineering or other relevant engineering disciplines from a reputable university Demonstrable good publication track record Highly motivated with ability to work independently as well as a good team player Excellent skills in project management Excellent written and oral communication skills

Salary

Competitive

Posted

10 Apr 2026

Research Engineer (Computer Vision - Wildlife Species) - SH1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  The Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques  Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices

Salary

Competitive

Posted

10 Apr 2026

Data Analyst, Rural and Remote Health

FLINDERS UNIVERSITY

Flinders University

Australia, Adelaide

institution

Flinders University

Australia, Adelaide


Position Details Fixed Term until 18/12/2026| Full-Time Higher Education Officer Level 7 | $100,233 - $110,954 p.a. Location: Any SA or NT Rural and Remote Health Campus View Position Description Flinders Rural and Remote Health Flinders University has a considerable presence in rural and remote communities throughout South Australia and the Northern Territory. This geographic footprint across the Australian Central Corridor is a defining feature of Flinders University. Situated upon unceded lands of Aboriginal peoples across the Australian Central Corridor, Flinders Rural and Remote Health SA and NT work collaboratively with leaders in local communities. Together we facilitate high-quality multidisciplinary regional academic and research programs, to positively impact some of the most diverse and culturally rich communities in Australia. We prioritise employing and supporting the careers of local, rural background, and Aboriginal and Torres Strait Islander people. Our regional academic programs and research positively impact some of the most diverse and culturally rich communities in Australia. Many activities are supported by funding from the Australian Government through the Commonwealth Department of Health Rural Health Multidisciplinary Training (RHMT) program. For more information about our rural and remote offerings across South Australia and the Northern Territory, please visit the following links: Flinders Rural and Remote Health NT & Flinders Rural and Remote Health SA About the Role We are seeking a passionate Data Analyst to join our growing Flinders Rural and Remote Health Team. This new position will specifically support the Rural Health Multidisciplinary Training (RHMT) Program and will provide specialist expertise in identifying, developing, collecting, analysing, and reporting rural placement and graduate outcomes data for medicine, nursing, and allied health students. This exciting and unique position will also have the opportunity to work across the following tasks and duties: Coordinating specialist data analytics and business intelligence services that support evidence-informed decision-making for RHMT Program. Designing, developing, and implementing high‑quality data visualisations and reporting products that are fit for purpose for both technical and non-technical audiences. Engaging proactively and collaboratively with stakeholders, including universities, regulatory government agencies, and internal teams to conduct business analysis, identify opportunities for enhancement and support implementation of solutions. Providing expert advice and guidance on data analysis methodologies, outcome tracking, rural workforce data, and the use of analytics to support program operations, planning, and evaluation. By collecting and analysing data relating to program outcomes, this position makes a significant contribution to the University’s strategic plan to change 10 million lives, Every One Matters, by 2035. Aligning specifically to the Core Enabler of Here for Good, the successful incumbent will contribute to championing equity, sustainability, and wellbeing of rural and remote health workforce that will serve the long-term needs of students, our community, and society at large. This position can be based at any Rural and Remote Health site across SA or NT. About You You are an experienced data analyst or business intelligence professional who is keen to apply your knowledge and skillset in a higher education and healthcare context. You hold a degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related analytical discipline, highlighting your commitment to identifying and applying industry best practice methods for data quality assessment, data visualisation, version control and post implementation support to deliver reliable and strategic data insights. You will also be able to demonstrate the following: Demonstrated experience in analytical and business intelligence tools within an organisation (in the higher education or healthcare sector is preferred but not essential) Demonstrated analytical and problem-solving skills with the ability to interrogate complex datasets, identify patterns and issues, develop and recommend evidence-based solutions and translate business challenges into functional and technically sound data products. Ability to work as an effective member of a team but equally enjoys and thrives working independently, as well as well-developed interpersonal and communication skills which allows you to quickly build strong and trusting relationships. Proficient in the preparation and management of accurate data sources, an understanding of data modelling and design, along with proven knowledge of Power BI or similar enterprise data visualisation tools. Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Wide range of professional development activities and services We embrace diversity and promote equity and inclusion for all students and staff 6 weeks annual leave (NT only) Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Please see here for our Reconciliation Action Plan  Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. Please note that you may be required to provide evidence that you are up to date with COVID-19 vaccinations, in line with the Flinders University COVID-19 Vaccination Policy  It is a requirement of this position that the incumbent maintain a current Working with Children Check which is satisfactory to the University in accordance with the Child Safety (Prohibited Persons) Act 2016 (SA). Northern Territory Government legislation (the Care and Protection of Children Act 2007) now requires all individuals in child related employment or whose duties involve, or are likely to involve, contact with a child, to hold a valid 'Working with Children Clearance' (Ochre Card). This position involves child related work and is assessed as requiring a Working with Children Clearance/Ochre Card. How to Apply and Information You are required to submit a CV, along with a Suitability Statement as a separate document. This should be no more than 3 pages, and address the Key Position Capabilities of the position description For more information regarding this position, please contact Amy Schulz. Certification National Police Check - Australian Federal Police Applications to be submitted before 10.00pm: 26 Apr 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

Salary

$100,233 - $110,954 p.a.

Posted

10 Apr 2026

Research Engineer / Research Fellow (Commercial Off-The-Shelf (COTS) Drone) - PL

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Introduction As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met. Initiate and help guide work and demonstrations in the following tasks: Firmware extraction and reverse engineering. Study, understand and analyse mobile platform applications. Design, develop and test AI-driven security testing techniques. Design, develop and test control augmentation techniques. Adaptation of developed techniques for more generic use. Perform project documentation and technical mentoring of student assistants. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.  Job Requirements A good degree in Computer Science / Engineering, preferably with a relevant postgraduate qualification for Research Fellow. Proficiency with firmware extraction and reverse engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and development work on desktop and / or mobile platforms. Key Competencies Self-directed learner who believes in continuous learning and development. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Proficient in technical writing and presentation. Able to build and maintain good working relationships with people within and external to the university.

Salary

Competitive

Posted

10 Apr 2026

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Subjects Taught at Tokyo Medical and Dental University (TMDU)

See below for a range of subjects taught at Tokyo Medical and Dental University (TMDU)

Arts and Humanities

  • Archaeology
  • Architecture
  • Art, Performing Art and Design
  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Law

  • Law

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science
  • Veterinary Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Geography
  • Politics and International Studies
  • Sociology