31 computer-science-programming-languages-"O"-"O" Fellowship positions at University of Oxford
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launched Oxford Programme for Cyber and Technology Policy (OxCTP). Reporting to the Co-Directors of OxCTP, you will manage your own academic research activities and collaborate in the preparation of research
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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
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access to substantial travel and research funds and participate fully in the Department’s vibrant programme of visitors and seminars. An affiliation with Magdalen College is under discussion. Applications
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significant contribution to the writing of group-funding applications for new research projects, including sharing responsibility for shaping the Centre’s research programme. • The fellow may be asked to teach
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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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 trial data. You will provide clinical expertise across the programme, helping to ensure high standards of research design, patient safety and ethical practice. You will also play an active role in
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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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research interests compatible with those of our current faculty in the following research groups: mathematical biology, mathematical and computational finance, numerical analysis, machine learning and data