322 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" 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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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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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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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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will work as a member of an interdisciplinary team (including experts in machine-learning and microbiology) to establish microfluidics-enabled microscopy assays on single bacterial cells to determine
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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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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
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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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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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We are seeking a Postdoctoral Research Assistant for the Gene Machines’ group, led by Prof Achilles Kapanidis. The group is well known for developing single-molecule and single-cell fluorescence