21 parallel-computing-numerical-methods-"Multiple" Fellowship positions at University of Oxford
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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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the ability to work flexibly and autonomously and contribute to / manage multiple projects at various stages of development and organisation. You will also demonstrate an ability to follow departmental guidance
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community. You will demonstrate evidence of continuing professional development alongside excellent organisational skills with the ability to work flexibly and autonomously and contribute to / manage multiple
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administrative activities related to the DPhil. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will contribute ideas for new research projects, engage
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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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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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%) 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