551 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Oxford
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globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage clinical research, to develop
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of benefits we provide, including: • Flexible Hybrid Working: A work setup that combines office and remote work. • Excellent Contributory Pension Scheme: We help you plan for your future. • Generous Annual
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About the role We have an exciting opportunity to join the Draper Group in the Department of Paediatrics as our Senior Research Nurse – Malaria Vaccine Programme. You will play an important role in
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from the research programme. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts
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The Oxford Online Programme in Sleep Medicine (OOPSM) is seeking to appoint a Course Administrator. The OOPSM runs several courses including a postgraduate diploma (PGDip) and Masters (MSc) in Sleep
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the research team implement a wide range of experiments, both in the laboratory and in the field. Excellent general IT skills with PC and Mac computers along with the ability to configure and program specialised
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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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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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towns programme, organise and run patient and public involvement events to engage with community members and innovate, contribute to and promote the research, publication and impact focus of the centre in
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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