235 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at University of Oxford
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Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV
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professional development opportunities including teaching, assessments and/or case study development, and utilise the CCR networks (of Visiting Fellows, International Research Fellows and Centre Alumni) to
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of Computer Science and with the MPLS divisional REF team. You will develop and maintain specialist knowledge of REF processes and procedures, and the confidence to advise senior academic colleagues on the rules and on
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’ wellbeing and this is reflected in the range of benefits that we offer including: Generous annual leave entitlement An excellent contributory pension scheme Employee Assistant Programme Family leave schemes
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understand how the organisation of cancer testing creates or increases inequalities in test access (QUEST). Each project is at a different stage in its development and so there is an opportunity to contribute
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, political philosophy, bioethics or closely related field, significant relevant research experience and sufficient specialist knowledge in the discipline to work effectively within the research programme as
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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large-scale proteomic, transcriptomic, and perturbational datasets to build predictive and interpretable models of biological systems. The role will focus on developing computational frameworks