316 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford
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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12.00 midday 9 March 2026
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details of two referees as part of your online application. 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
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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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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/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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released for a secondment before you submit an application https://hr.admin.ox.ac.uk/secondments Only applications received online by 12.00 midday (GMT) on Tuesday 3 March 2026 can be considered. Interviews
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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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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microbiology, and machine learning, you will identify AMR genes, pathogens of public health concern (including ESKAPE and WHO-priority organisms), and reconstruct metagenome-assembled genomes (MAGs). Across five