68 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions at University of Oxford in United Kingdom
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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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, fixed-term position, funded by a Simons Foundation research grant. The successful candidate will be expected to take up this post as soon as possible, with a latest start date of1st October 2026. We
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, University of Oxford. This is a 24-month, fixed-term position, funded by the Simons Foundation. The start-date for this position is flexible, but September-November 2026 is preferred. The project will focus
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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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, 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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area. You will possess sufficient specialist knowledge in the discipline of neurodiversity to work within established research programmes. An experience in engaging in Human-Computer Interaction (HCI) based
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of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits For informal enquiries about the post, please contact Ellie Tzima – ellie.tzima
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application. In your supporting statement, please explain how you meet each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https
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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