25 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" Fellowship positions at University of Oxford
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all procedures with clinical trial volunteers and you will provide broad clinical support to the HCV CHIM program (working with the project team, including a project manager). Giving clinical input
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of
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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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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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Oxford Saïd Business School is seeking to appoint two Postdoctoral Research Fellows to join the Oxford/EY Corporate Transformation research programme, a multi-phase research partnership between Saïd
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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are expected to: (a) conduct an original programme of research in Physics (b) disseminate their research through publication in scholarly journals, participation in international conferences and
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of tuberculosis vaccines in Oxford and plan, direct and undertake clinical delivery of research work in both tuberculosis and SARS-CoV-2 studies. You will be responsible for the screening, vaccination and challenge
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postgraduate medical training, and possess sufficient specialist knowledge to work effectively within established research programmes, including specialist knowledge of queer theory and or LGBTQ+ related
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning