71 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Oxford
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on “Active exploration of iridescence and gloss”. The ESR will join the EXPLORA consortium (https://explora-network.github.io/web/index.html), which comprises 12 academic institutions across multiple European
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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 3rd March 2026. It is
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capabilities, and particularly the Experimental Medicine Clinical Research Facility (EMCRF) (https://www.kennedy.ox.ac.uk/news/oxford-and-gsk-launch-experimental-medicine-collaboration). This will allow testing
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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. 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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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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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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. 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
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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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, 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