340 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Oxford
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financial strategy to provide long-term resources, underpinned by excellent operational and professional services. For more information, please visit: https://finance.admin.ox.ac.uk/ What We Offer Working
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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 2 February 2026 Interviews will take place during week
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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 12:00 midday on 9 February 2026
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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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/supporting statement, CV and the 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
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experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or
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operational and professional services. For more information please visit: https://finance.admin.ox.ac.uk/ What We Offer Working at the University of Oxford offers several exclusive benefits, such as: • 38 days
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. The closing date for applications is 12.00 noon on the 9th February 2026. Informal enquiries may be addressed to Louise.Bristow@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk
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, learning under uncertainty) that is of an international standard, and that is carried out expertly, rigorously and in accordance with ethical guidelines. You will also participate actively in the lab
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, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University