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St Marianna University School of Medicine

Ranked
sdgs/sdg overall
Sustainability Impact Rated
Kawasaki city, Japan
1201–1500th in World University Rankings 2024
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About St Marianna University School of Medicine

Basic information and contact details for St Marianna University School of Medicine

institution
St Marianna University School of Medicine is a private university in the city of Kawasaki, Japan. Founded in 1971 as Toyo Medical College, it is Japan's only medical university with a Christian ethos, as it is affiliated with the Roman Catholic Church. In addition to medical studies, the school offers a degree in comparative religious studies. The university is the first in Asia to be approved as a medical centre for the FIFA world soccer association, as the medical provider for the Japan national football team. Associated medical facilities consist of four hospitals and one clinic, all but one of which are in Kawasaki City: St Marianna University Hospital, St Marianna University Toyoko Hospital; St Marianna University Advanced Breast Imaging Center, Kawasaki Municipal Tama Hospital and St. Marianna University Yokohama City Seibu Hospital. There is also a nursing junior college and a graduate school. The curriculum consists of initial practical training in the first three years and clinical clerkship in the latter three years. The Centre for the Promotion of Intellectual Enterprise pursues partnerships with research institutions and companies at home and abroad in areas ranging from genome and biomedical sciences to digital technology. The International Exchange Centre opened in 2018 to form partnerships with universities worldwide, which so far has included institutions in Korea, China, the USA and Taiwan, as well as with other universities in Japan. The university chapel houses 15 paintings depicting the Stations of the Cross and the resurrection of Christ. Its stained-glass windows embody these images in abstract form.

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Key Student Statistics

A breakdown of student statistics at St Marianna University School of Medicine

gender ratio
Student gender ratio
44 F : 56 M (1)
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International student percentage
1% (1)
student per staff
Students per staff
0.8 (1)
student
Student total
821 (1)

Based on data collected for the (1) World University Rankings 2024

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Institute Director, Australian Institute for Bioengineering and Nanotechnology

UNIVERSITY OF QUEENSLAND

The University Of Queensland

Australia, Brisbane

institution

The University Of Queensland

Australia, Brisbane


Lead one of the world’s most influential institutes in bioengineering and nanotechnology Drive research excellence, global partnerships and translation of discovery into impact Shape the next chapter of innovation in health, energy and the bioeconomy About UQ Hoffmann Reed has been exclusively engaged by The University of Queensland (UQ), one of Australia’s leading research and teaching institutions and consistently ranked among the world’s top universities. UQ is home to more than 57,000 students and a vibrant community of over 7,500 staff, supported by eight flagship research institutes and more than 100 research centres. The Australian Institute for Bioengineering and Nanotechnology (AIBN) is a globally recognised leader in interdisciplinary research, bringing together expertise in bioengineering and nanoscience to address some of the most pressing challenges facing society today. Since its establishment in 2004, AIBN has grown into one of the largest institutes of its kind internationally, with more than 300 researchers, professional staff and industry partners working collaboratively to translate discovery into practical solutions in areas such as health, sustainable energy and the bioeconomy. The Institute is committed to translating research discoveries into real-world applications, aligning with both national and global research priorities. About the Opportunity This is a rare opportunity to lead a globally recognised institute and guide its continued growth and impact. Reporting to the Provost, the Institute Director provides strategic and academic leadership for AIBN and plays a key role in shaping the institute’s future as a world-leading centre for interdisciplinary research and innovation. As a member of the University’s senior leadership community, the Institute Director will set the strategic vision, strengthen research excellence and impact, and foster a collaborative and inclusive culture that attracts and supports outstanding researchers at all career stages. The role also carries responsibility for advancing the translation and commercialisation of research, strengthening partnerships with industry, government and global collaborators, and ensuring the AIBN’s long-term financial and operational sustainability. Working closely with university leadership, faculties, research institutes and external partners, the Institute Director will position AIBN to build on its existing strengths while identifying emerging opportunities that will shape the next generation of bioengineering and nanotechnology innovation. About You You will be an internationally recognised research leader with the vision and capability to guide a complex, high-performing research institute toward its next stage of achievement. The successful candidate will demonstrate: A PhD in a relevant discipline and global recognition as a leading scientific authority A distinguished research career with experience leading large and complex research organisations or programs Proven capability to develop and lead multidisciplinary teams and drive innovation, translation and commercialisation of research Strategic leadership experience in positioning and profiling research institutes or major research initiatives Strong national and international networks across academia, industry, government and funding bodies Exceptional interpersonal and communication skills, with the ability to influence, build partnerships and inspire high-performing teams. To Learn More For a confidential conversation, please contact: Marcus Engeman, Managing Director at Hoffmann Reed via: Phone: +61 431 804 418 Email: marcus@hoffmannreed.com.au How to Apply To apply, please email your completed application (PDF format preferred) to confidential@hoffmannreed.com.au Your submission should include:- Cover Letter A written response (maximum two pages) addressing the selection criteria to outline your interest and suitability Comprehensive CV Applications will close on Sunday 26th April 2026.

Salary

Competitive

Posted

15 Mar 2026

ACER CoE - Postdoctoral Researcher in Chemical Engineer (Adsorption/Membranes)

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: The successful candidate will: Conduct original and high-quality research in adsorption-based separation and/or membrane technology. Develop novel adsorbents and/or membranes for gas or liquid storage and separation applications. Characterize adsorption and transport properties using advanced analytical techniques. Prepare high-impact research papers for publication in leading peer-reviewed journals and present findings at international conferences, workshops, and meetings. Collaborate with multidisciplinary teams and engage in knowledge exchange with industry and academic partners. Contribute to the preparation of research proposals for external funding. Support the supervision of graduate students and assist in guiding their research projects. Assist in the development of undergraduate and postgraduate courses and modules. Facilitate the acquisition of necessary laboratory equipment and interact with international suppliers when required. Candidate Profile: The ideal candidate should have a strong background in Chemical Engineering, Materials Science, or a related field with expertise in adsorption and/or membrane-based separation technologies. The following qualifications and skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents or membranes. Proficiency in advanced characterization techniques, such as BET, FTIR, XRD, SEM, TEM, TGA, ICP, and gas sorption analysis. Good understanding of process design for adsorption or membrane-based separation. Strong track record of publications in reputable peer-reviewed journals. Excellent communication skills (oral and written) in English. Ability to work independently as well as in a multidisciplinary research team. Prior experience in student supervision and research coordination is a plus.  Candidature Submission: Applicants should submit the following documents: Cover letter outlining research experience, achievements, and future research interests. Curriculum Vitae (CV) detailing academic and research experience. List of publications in peer-reviewed journals. Contact information of three referees (who are not current UM6P faculty). Recommendation letters (if available).

Salary

Competitive

Posted

13 Mar 2026

SUSMAT-RC - Post-Doctoral in Advanced Sustainable Materials for Sensing Applications

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Job description: Sustainable Materials Research Center (SUSMAT-RC) is seeking a highly motivated and talented postdoctoral fellow to join our research team focused on the development of innovative and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising solutions that support and promote smart and sustainable practices in industrial processes. The successful candidate will develop innovative and efficient sensing platforms using advanced manufacturing techniques and strategies. The sensor platforms will leverage miniaturized, low-cost, and efficient components, utilizing state-of-the-art manufacturing techniques to enable seamless integration into industrial equipment and infrastructure. Key duties: The successful candidate is expected to: Have strong experience in polymers, molecularly imprinted polymers, and polymer-based nanocomposite synthesis, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability, and robustness. Collaborate with interdisciplinary teams, including engineers, and data scientists, to integrate sensor technologies into comprehensive industrial systems.  Maintain detailed records of experimental procedures, results, and observations.  Prepare technical reports, research papers, and presentations for conferences and scientific publications. Contribute to the generation of new research ideas, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic techniques (UV-Vis, FTIR, Raman, NMR, XRD, spectrophotometry, etc), and microscopy techniques (SEM, TEM, AFM, etc) necessary for structural and physical-chemical characterization of polymer and polymer-based nanocomposite. Proven experience and familiarity with electrochemical techniques necessary for preparation, characterization and application of polymer and polymer-based nanocomposite: CV, LSV, DPV, SWV, EIS, etc. Broad experience in surface modification of inorganic or organic substrates. Contribute to the group’s activities in the processing of sustainable materials, (bio)polymer composites and their applications as sensing platforms in related fields. Experience in supervising undergraduate, master's and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: Ph.D degree in analytical chemistry, polymer science, materials science and engineering or any related field. Strong motivation and passion for research in the field of sensors Strong initiative, self-motivated, and focused on achieving quality outputs. Good time management and task prioritization skills. Strong analytical, problem solving and teamwork skills. Ability to work both as part of a team and to work independently. Excellent oral and written communication skills in English. Application and Selection Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation A brief research statement. Contact information of 2 referees. About Mohammed VI About Mohammed Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the Sustainable Materials Research Center (SusMat - RC): The Sustainable Materials Research Center (SusMat - RC) is a multidisciplinary research center engaged in the development of advanced biobased products and materials thereof using biotechnological, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular economy.

Salary

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Posted

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Research Fellow, Digital Health & Biomedical Engineering

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


This is an exciting time to join the University of Southampton, a global top-100 university with a reputation for delivering world-class education and research that addresses some of society’s biggest challenges. We are seeking a Research Fellow in Liquid Metal Artificial Enzymes to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and bioengineering applications. The role will involve developing gallium-based liquid metal nanostructures and catalytic systems, investigating their physicochemical properties, catalytic mechanisms, and interactions with biological environments. The postholder will design and conduct experiments to evaluate catalytic activity, stability, and functionality in biologically relevant conditions. You will contribute to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful candidate will also contribute to mentoring postgraduate researchers, supporting collaborative research projects, and assisting with the preparation of future research funding proposals. About You You will hold a PhD in Materials Science, Nanotechnology, Biomedical Engineering, Chemistry, Bioengineering, or a closely related discipline (or have equivalent professional experience), with a strong background in experimental research. Experience in one or more of the following areas would be advantageous: Nanomaterials synthesis and characterisation Liquid metal materials or gallium-based nanomaterials Artificial enzymes or nanozymes Catalysis at biointerfaces or reactive nanomaterials Advanced materials characterisation techniques (e.g., electron microscopy, spectroscopy, surface analysis) You will be motivated to work in a multidisciplinary research environment, collaborating with researchers across engineering, materials science, and biomedical fields. Strong organisational skills, scientific curiosity, and the ability to work both independently and collaboratively will be essential for success in the role. What We Can Offer You We offer a comprehensive benefits package including: Generous annual leave plus 6 University closure days and bank holidays University pension scheme Discounted private healthcare and dental cover Company sick pay Flexible working options Excellent family leave arrangements You will also benefit from access to the University’s excellent research facilities, training and development opportunities, and a vibrant interdisciplinary research environment. Southampton is a dynamic coastal city with excellent transport connections, offering a fantastic place to live, work and collaborate. At the University of Southampton we are committed to creating a culture of inclusion, respect and equality of opportunity. We recruit based on merit and welcome applications from all candidates who share our commitment to building an inclusive environment.

Salary

£36,636 to £44,746 per annum

Posted

16 Mar 2026

VANGUARD - Postdoc in Network Tensor Completion

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L  where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for  parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.

Salary

Competitive

Posted

13 Mar 2026

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Subjects Taught at St Marianna University School of Medicine

See below for a range of subjects taught at St Marianna University School of Medicine

Medical and Health

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