21 parallel-computing-numerical-methods-"Prof" Fellowship positions at University of Oxford
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, Prof Martin Schmalz, the post holder will play a key role in delivering the ERC Consolidator Grant project Diversification: Causes, Consequences, and Welfare Effects (DICACO). The project seeks
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time point of infection. Project partners include the University of Oxford (UK) (led by Prof. Ellie Barnes), Imperial College (UK) (led by Prof. Graham Cooke), and Ghent (Belgium) (led by Prof. Philip
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research in cosmology, galaxy evolution or astrophysical transients (including supernova for cosmology) would be essential. Please direct enquiries about the role to Prof. Stephen Smartt (Stephen.Smartt
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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
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candidate with expertise in advanced qualitative methods, and the second with expertise in advanced quantitative methods. Eligibility This is an early career fellowship intended as a developmental pathway for
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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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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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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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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