584 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Oxford
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part-time Research Assistant (0.5 FTE) for a 8-month fixed-term position. We welcome applicants with expertise in Computational Social Science, Data Science, Informatics, or Social Data Science. The
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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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cathodes within the group of Professor Saiful Islam in the Department of Materials at the University of Oxford. The research programme at Oxford will investigate structural, redox, transport, and interface
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Director of Research Computing Infrastructure Contract: Full-time, Permanent Oxford is world-famous for research excellence and home to some of the most talented people from across the globe. Our
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About the Role We are seeking an experienced and highly motivated senior postdoctoral researcher in computational biology. The successful candidate will join a multi-disciplinary team working in
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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Following a recent rebrand to Oxford Lifelong Learning, we are embarking on an exciting project to redevelop our entire website from scratch. We are seeking an experienced Web Application Developer
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Join Oxford University’s central IT Services as a Senior Integrations Developer and play a key role in shaping a modern, API-first integrations platform critical to the University’s digital
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, and the wider MSc Taught Programmes Team. To be successful in this role, you will need to be highly organised, have previous administrative experience, and demonstrate strong computer skills. A positive
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new