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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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research fellow to lead the computational arm of a Leverhulme-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and
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A post-doctoral position is available to take a leading research role in an industry-facing HBLB funded research project entitled “Toward Racehorse Injury Prevention: A Computer Vision-Based
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that will support future translational and commercialisation activities. The BRITE (Biologics Regional Innovation Technology Ecosystem) programme, funded by UKRI Research England, is a collaborative
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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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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest
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at the University of Oxford. You will work with Professor Claire Nichols and Professor Chris Ballentine as part of the Oxford Martin Programme on Geological Hydrogen, an interdisciplinary initiative investigating
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in the Moule lab (biology.ed.ac.uk/moule ) will be part of a larger project funded by a Human Frontiers Science Program (HFSP) research grant that brings together microbiology, mammalian cell biology
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characterisation, and computational modelling to enable structure-driven materials discovery, targeting systems with unconventional atomic arrangements and emergent properties, and is inspired by the recent
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collaboration with Prof Yulan He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the