40 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions at University of Oxford
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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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and teaching. The Clinical Trial Service Unit (CTSU) is a major international research institute within Oxford Population Health, and is one of the world’s leading centres for research into chronic
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Faculty of History. They will be part of a lively and intellectually stimulating research community which publishes at the highest international levels, and will have access to the excellent research
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on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
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haematologist, with an interest in myeloid disorders and clinical trials. There will be an opportunity to develop research projects in clinical trials and laboratory based translational science in
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, International Development, Anthropology, Theology, the Blavatnik School of Government, and other departments. As a Non-Tutorial Fellow of St Antony’s College, the appointee will be a member of the College’s Asian
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graduate teaching, supervise postgraduate research, exercise academic leadership, and pursue an active programme of original scholarship within the field. This post is designed to ensure continuity and
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of the Finance, Accounting, Management Science and Economics (FAME) research group at Saïd Business School. Please see the attached job description for a comprehensive list of duties and candidate
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We are looking for a Clinical Research Fellow in Neurovascular Disease to join the Centre for the Prevention of Stroke and Dementia Team at NDCN. The role will involve the gathering and analysis of data on different aetiological subtypes of TIA and stroke study subjects as part of the Oxford...
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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