410 distributed-computing-"Delft-University-of-Technology" Postdoctoral positions in United Kingdom
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the risks. You will have: a PhD in one of the relevant STEM disciplines, such as mathematics, statistics, computer sciences, theoretical food, ecological or physical sciences, etc. skills in mathematical
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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep
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shelves, the breakup of which can speed up flow of grounded ice and affect global sea level, and on the highly specialised Antarctic biodiversity. This ambitious programme brings together leading UK (BAS
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are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme. The successful candidate will work as part of a team to develop and apply deep
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will
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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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We are seeking a highly motivated Postdoctoral Research Scientist to join a collaborative, translational research programme aimed at developing the first personalised mRNA vaccine
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or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision and data mining tools, and be able to work on group software projects using modern
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with