113 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Oxford
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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for applications is 12.00 noon on Friday 06 March 2026. Informal enquiries may be addressed to Professor Harrison Steel: Harrison.steel@eng.ox.ac.uk Further information can be found at http://www.eng.ox.ac.uk/jobs
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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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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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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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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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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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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