447 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions in Singapore
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research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are seeking a highly motivated and talented Research Fellow
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, and present findings at international conferences. Collaborate with internal and external partners on joint research projects and technology development. Contribute to progress reports, project meetings
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high-quality journals in areas that are related to the research. The candidate should demonstrate excellent communication skills and have a strong passion and commitment to science. The candidate will
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international research partners, including leading Danish universities, on advanced modelling of energy systems and cooling technologies. Prepare technical reports, scientific publications, and presentations
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international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project. Conduct accurate monitoring, documenting and reporting of experimental results and/or research
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collaborators. Mentor junior colleagues and students. Write, present, and publish research findings in peer-reviewed journals. Knowledge and Experience Requirements: PhD degree in statistics, computer sciences
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-oncology imaging and engineering, nucleic acids nanotechnology, computational biomedical imaging. We are seeking a person with preferred experience in cancer immunology, immune engineering, biomedical
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assist with administrative work as required. The successful candidate should: Possess a PhD degree in international political economy, international relations, political science, economics, or related
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. This position is ideal for candidates who have recently completed their doctoral training and are seeking to establish themselves as independent researchers in infectious disease modelling, health