327 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford
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12.00 noon on Friday 20 February 2026. Informal enquiries may be addressed to John Coull: john.coull@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs/home Applications
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guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. The closing date for applications is 12.00 noon on Monday 9th February 2026. Only applications submitted by this time will be considered.
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national partners. You will ensure robust evaluation of programme activities and events, analysing feedback and insights to assess impact, document lessons learned and make recommendations for improvements
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selection of the Centre’s programmes for Oxford Saïd and University-wide students. Collaborate with academics, entrepreneurs and business leaders to deliver inspiring and practical learning experiences
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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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criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be
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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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the first instance. Please note the eligibility criteria set out by the UKRI at: https://www.ukri.org/what-we-do/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning