14 computer-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions at University of Oxford
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Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within
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recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
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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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major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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We are looking for a Senior Postdoctoral Research Fellow Reporting to the Principal Investigator Prof Yee-Whye Teh, the postholder will be a member of the Oxford Computational Statistics and
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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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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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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