17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship positions at University of Oxford
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work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
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details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is
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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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As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable
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on the Application Form. Information about Plant Sciences at Oxford can be found at https://www.biology.ox.ac.uk or by contacting the head of the Molecular Plant Sciences Section (lars.ostergaard@biology.ox.ac.uk
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As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable
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Machine Learning (OxCSML) research group, with responsibility for leading and carrying out research pertinent to the project, as well as day-to-day management of research activities relevant to the project
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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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conducting quantitative analyses or master game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world