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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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We are currently inviting applications for a Postdoctoral Research Associate in Deep Learning to work with Professor Justin Sirignano at the Mathematical Institute, University of Oxford. This is a 6-month, fixed-term position funded by an EPSRC grant. We anticipate a starting date of 1 December...
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of the Oxford Martin Programme on Geological Hydrogen, an interdisciplinary initiative investigating whether stimulated geological hydrogen can provide a low-cost, low-carbon and socially responsible
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Electronics”. Based in the Department of Chemistry under the supervision of Dr Georgina Gregory, this post is fixed-term for up to 2.5 years. This is a new programme and you would be leading its experimental
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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-holder will also have the opportunity to contribute to teaching. Applicants should hold, or be close to completing, a PhD/DPhil in physics, climate science, computer science, or a closely related
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multidisciplinary bioimaging programme, 3DxN. Background Ageing and disease are accompanied by changes in the appearance of tissues and cellular microenvironments. Current clinical pathology relies largely
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of vision in trilobites” funded by the Human Frontiers Science Program. The researcher will work under the direction of Associate Professor Luke Parry as part of a wider international team including Dr