65 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at University of Oxford in United Kingdom
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post
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to the 30th September 2026. We are looking for outstanding machine learning researcher to join the Torr Vision Group and work on AI Scientists: systems that use foundation models, AI agents, and robotics
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* together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is
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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
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free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process This position is available for up to three
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the Educational Media Services team. The role will entail working with colleagues in Educational Media Services (https://help.it.ox.ac.uk/media) to support the teaching and learning objectives of the University
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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 7 April 2026
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, socially grounded approaches to disease threats affecting animal and human health — learning from those who manage biological risks in everyday settings rather than relying solely on top-down models. Working
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@cardiov.ox.ac.uk Georgia Broom – cvm_personnel@cardiov.ox.ac.uk The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https
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required to upload a covering letter/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