579 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Oxford
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. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging
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ensures that the systems used across Estates Services are well maintained, reliable, and easy to use, enabling teams to plan, deliver, and report on their work effectively. The team works closely with
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opportunities for undergraduate and postgraduate applicants and students. This includes scholarships, bursaries and loan programmes, international schemes and central financial assistance, working closely with a
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IT Business Analyst Grade 8: £49,119 – £58,265including the Oxford University Weighting of £1,730 per annum Fixed-term (12 months), full time (37.5 hours per week)Hybrid working – two days per week onsite (Park End Street, Oxford & Egrove Park, Kennington) Oxford Saïd’s Digital and Information...
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Location: Rex Richards Building, South Parks Road, Oxford OX1 3RQ About the role This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post is in association with a new Faraday Institution-funded project entitled “Accelerated...
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and responding to information security incidents, working closely with the Oxford Computer Emergency Response Team (OxCERT), IT Services colleagues across the University, and third-party suppliers
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at the Oxford Experimental Medicine Clinical Research Facility, including out-patient clinic sessions. The job plan will be based on up to 2 PAs of clinical and related service. You will teach through University
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thematic programmes requiring business engagement • Represent Oxford at external events, conferences, and networking activities We’re looking for someone with a strong scientific background, proven
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, and intervening in the internal representations and computations of large-scale AI systems. The project explores areas including automated circuit discovery, structured capability hypotheses from
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world