617 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Oxford
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approach to service provision and manage a c.£100m digital transformation programme. As such, we require potential candidates to possess good people, process, IT and accounting skills ideally proven in a
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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immunological responses post vaccine or CHIM. We are currently expanding our team to help deliver a large program of new trials starting in the next 12 months. This position is offered full-time on a fixed-term
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globally competitive programme of research and teaching. The Kadoorie Institute for Trauma, Emergency and Critical Care brings together research across trauma, emergency care, and critical care. It designs
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in thermofluids and related areas. The role will involve supporting experimental and/or computational research activities, assisting with laboratory or facility operations where appropriate
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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sustain a large-scale research programme, supported by the world-leading clinical research infrastructure in Oxford. The University is at the forefront of research into mental health in older adults
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independent programme of research, have the potential to attract research funding and will be contributing to the teaching and administration of the Department of Statistics and the OMI. At the OMI
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• A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite