HHL Leipzig Graduate School of Management
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Postdoctoral Research Associate - Computational Biology
The University of Sydney
Australia, Camden
The University of Sydney
Australia, Camden
Full time fixed term for 2 years at Cobbitty, Camden Campus Opportunity to conduct research applying computational biology and AI modelling to plant-pathogen interactions Base Salary $113,400 - $121,054 + 17% superannuation About the opportunity The School of Life and Environmental Sciences (SOLES) at the University of Sydney is seeking to appoint a Postdoctoral Fellow in Computational Biology and AI Modelling to be based at the Plant Breeding Institute on the University's Camden Campus. SOLES has an international reputation for education and research, with well-funded external research collaborations across industry. The University of Sydney has significant strengths in plant breeding, crop production, plant biology and genetics, and agricultural robotics. This role offers an exciting opportunity for a highly motivated computational biologist to join a multidisciplinary research team investigating plant-pathogen interactions through integrative computational modelling. You will develop and apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have access to large-scale biological datasets, high-performance and cloud-based computing resources, and work in close collaboration with experimental biologists and external computational partners. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes to generate mechanistic insight into host-pathogen biology. Your research interests will complement and/or enrich existing strengths in the Institute and School in plant breeding, molecular biology, genetics and pathology. You will contribute to current research programs, particularly in resistance gene and avirulence gene cloning, functional studies, and host-pathogen interactions, and articulate a clear vision for collaboration within SOLES, across the University of Sydney and beyond. Your key responsibilities will be to: develop and apply computational models to investigate protein-protein and protein-ligand interactions in plant-pathogen systems integrate diverse omics datasets to infer molecular interactions and regulatory processes design, implement and maintain reproducible, scalable computational pipelines for large biological datasets optimise workflows for high-performance computing (HPC) and cloud-based environments collaborate closely with experimental research teams to translate model outputs into testable biological hypotheses contribute to scientific documentation, including high-impact publications, research grant applications and reports present research findings at national and international scientific conferences. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoc Research Associate - Computational Biology who has: a PhD in bioinformatics, computational biology, systems biology, or a related discipline strong proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing reproducible workflows in HPC and/or containerised environments strong analytical capability, scientific ownership and a track record of high-quality research publications a clear vision for how your research complements and/or enriches the strengths of the School and Institute demonstrated experience in successful collaborative research projects (advantageous) excellent written, oral and interpersonal communication skills, with strong time management capability. Desirable experience familiarity with structure-informed or interaction-prediction modelling approaches experience integrating computational analyses with experimental or functional validation demonstrated experience in protein-centric analyses, including protein interaction networks, signalling pathway modelling, proteomics or protein target screening background or demonstrated interest in plant biology or plant-pathogen molecular interactions familiarity with molecular cloning techniques. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus. Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Deepna Chand, Recruitment Operations by email to recruitment.sea@sydney.edu.au . © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Monday 27 April 2026 11:59 PM
Salary
$113,400 - $121,054 + 17% superannuation
Posted
2 Apr 2026
Associate/Assistant Professor in Intelligent Sensing and Network Communication
University of Macau
Macao
University of Macau
Macao
(Ref. No.: IOTSC/ISNC/AAP/04/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 285 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The State Key Laboratory of Internet of Things for Smart City invites applications for the position of Associate/Assistant Professor, who will also be a joint faculty member in the Faculty of Science and Technology, in the following disciplines: IoT infrastructure and devices (sensors, embedded systems, etc.) Sensing technologies IoT security and privacy-enhancing technologies IoT communications and networking State Key Laboratory of Internet of Things for Smart City - SKL-IOTSC The State Key Laboratory of Internet of Things for Smart City is expected to promote smart city development in prospective of IoT, Big Data Technology and Engineering in Macao and inject a fresh impetus to the development of the Greater Bay Area by enhancing research and training in the field and providing technical support plans for improving economic performance, people’s quality of life, and social management. More details about the State Key Laboratory are available from https://skliotsc.um.edu.mo/. Faculty of Science and Technology - FST Faculty of Science and Technology aims to provide programmes for undergraduate and graduate education with quality reaching international standard. It strives to become a research active unit advancing the knowledge of engineering and science, and serves the community and industry as an agent of technological innovation and educational advancement. Currently, about 90 faculty members from diverse international backgrounds serve in this faculty. More details about the Faculty of Science and Technology are available from http://www.fst.um.edu.mo/. Qualifications A PhD degree in Computer Science, Electrical and Electronic Engineering or related disciplines; A distinguished record of internationally-recognized research and scholarship; Demonstrable competence in communication; and English is the working language, while knowledge in Chinese/Portuguese will be an advantage. The selected candidate is expected to assume duty as soon as possible. Remuneration A taxable annual remuneration starting from MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will commence upon receiving applications and continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/; Email: vacancy@um.edu.mo Tel: +853 8822 8577; Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**
Salary
A taxable annual remuneration starting from MOP855,400 - MOP1,052,800
Posted
2 Apr 2026
Information Systems Specialist
University of Helsinki
Finland, Helsingfors (Helsinki)
University of Helsinki
Finland, Helsingfors (Helsinki)
The Faculty of Social Sciences at the University of Helsinki invites applications for the position of INFORMATION SYSTEMS SPECIALIST for a fixed-term appointment from 11 May, 2026 to 31 March, 2027, or as agreed. We seek an information systems specialist to join the ReliaCode project at the University of Helsinki. Our aim is to make LLMs usable in organisational settings with high reliability requirements, especially for reasoning about complex document collections. We’re building methods to make it easier to tell when LLM outputs can’t be trusted, and to improve systems efficiently from limited human feedback. The work is part of an early-stage initiative based in a university environment, with secured funding and a strong focus on real-world impact through pilot collaborations with organizations. The goal is to iteratively develop a product that could evolve either into a general-purpose platform for unstructured data processing or a focused solution in a specific domain. This role offers a unique opportunity to work at the intersection of research and product, and to help shape the technical direction of a potential startup from the ground up. We are offering a year-long full-time contract with the possibility of continuing afterwards in a potential spin-out company. We are particularly looking for candidates with: Strong Python and software engineering skills Hands-on experience using LLMs in applications, especially with multiple model calls and high reliability requirements Experience evaluating LLM systems, including designing benchmarks and using evaluation signals to identify failures and improve system performance Familiarity with practical ML approaches for ranking or classification with noisy or limited signals Comfort working independently in an early-stage project and taking ownership of open-ended problems The following are seen as advanteges but not necessary: Experience working with unstructured data sources (e.g. documents, long-form text) Familiarity with machine learning or NLP, particularly in areas such as information extraction or human-in-the-loop systems Some experience building and maintaining applications used by others Familiarity with standard software engineering practices (e.g. version control, code review, testing, iterative development) What we offer The University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The monthly gross salary range will be approx. €3,900 – €4,700, depending on the appointee’s qualifications and experience. Further information can be obtained online. The employment contract will include a probationary period of six months. The appointee is expected to reside in Finland while employed by the University of Helsinki. How to apply Please submit your application through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Only applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login”. The closing date for applications is 20 April, 2026. Further information Further information about the position can be obtained from university researcher Aleksi Knuutila, aleksi.knuutila@helsinki.fi. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers
Salary
€3,900 – €4,700
Posted
2 Apr 2026
Research Technician / Senior Research Technician
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
One position as a research technician (level 3) or senior research technician (level 4) is available in Dr Hans Michael Haitchi’s group in Respiratory Research, Clinical & Experimental Sciences (CES), Faculty of Medicine, University of Southampton (UoS). The group is studying the Preclinical efficacy and safety of ADAM33 oligonucleotides as new disease-modifying asthma therapy in pre-clinical murine and human models as part of a Medical Research Council – Developmental Pathway Funding Scheme (MRC-DPFS) grant in 2023 in collaboration with Professor Jonathan K Watts from the RNA Therapeutics Institute at the University of Massachusetts, USA. We hope to move a compound forward toward Investigational New Drug (IND)-enabling studies and clinical development for severe asthma. Dr Haitchi’s group studies asthma and in particular the role of the asthma gene ADAM33 in development of asthma using in vivo and in vitro asthma research models. The posts will be full-time for up to 10 months, funded by a MRC-DPFS grant. Candidates must hold or nearing completion of a relevant MSc or PhD qualification (or equivalent). A background in respiratory research with experience in, molecular biology techniques is essential, microscopy and image analysis and animal models is desirable. We especially welcome applications from enthusiastic candidates with prior knowledge of a broad variety of laboratory research methods and human and/or mouse in vivo and ex vivo respiratory disease research models with a keen interest and willingness to learn new research methods as part of a research team in the UK and USA. We offer an exciting and stimulating work environment. The respiratory research group in CES and the Southampton NIHR-Biomedical Research Centre (BRC) conducts world-class research spanning basic sciences and clinical research for asthma and other lung diseases. The position will be based in the Roger Brooke laboratory. Besides a great research environment, Southampton and its surrounding provide a beautiful place to live. More information on the group and BRC: https://www.southampton.ac.uk/medicine/about/staff/hmha.pageand https://www.uhs.nhs.uk/ClinicalResearchinSouthampton/Research/Facilities/NIHR-Southampton-Biomedical-Research-Centre/NIHRSouthamptonBiomedicalResearchCentre.aspx Informal enquiries are strongly encouraged and can be made to Dr Hans Michael Haitchi (email: hmha@soton.ac.uk) - Potential interview dates: April 2026. The University is committed to equality for all: https://www.southampton.ac.uk/diversity/policies/equal_opportunities.page *Applications for Research Technician positions will be considered from candidates who are working towards or nearing completion of a relevant MSc or PhD qualification.
Salary
£31,236 to £39,906
Posted
2 Apr 2026
Tenure-Track Assistant Professor in the Department of Diagnostic Radiology
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 534799 Work type: Full-time Department: Department of Diagnostic Radiology, School of Clinical Medicine (20500) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Assistant Professor in the Department of Diagnostic Radiology, School of Clinical Medicine (Ref.:534799), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract. Applicants should possess a Ph.D. degree and associated post-doctoral training in Medical Imaging Artificial Intelligence, Computer Science, or Biomedical Engineering. They should demonstrate (i) evidence of international recognition and scholarship; (ii) the ability to work across disciplines towards new research initiatives; (iii) a strong track record of high-quality research as indicated by publications (including multiple publications in high-impact journals of impact factor >10) and external grants; and (iv) a strong commitment to engage students at undergraduate and postgraduate level. The appointee will provide leadership in imaging research with particular focus on medical imaging AI research, and assist with managing AI-related infrastructures within the Department. He/She is expected to participate in applications for external competitive research grants for the Department, and will contribute to teach undergraduate and postgraduate programs, supervise student projects and theses, and take up administrative duties as required. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will also be provided as applicable. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from July 2, 2026 and continue until August 2, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency
Salary
Competitive salary
Posted
2 Apr 2026