552 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" positions at University of Oxford
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
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epidemiological parameter estimation. This position is funded by Google.org through their Health AI Programme and will be based at the Pandemic Sciences Institute, University of Oxford. You will work closely with
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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. The scholarships have been jointly funded by the University and the Oxford Nizami Ganjavi Programme. The scholarship covers course fees and a grant for living costs for both UK and International Students. Awards
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The Oxford Online Programme in Sleep Medicine (OOPSM) is seeking to appoint a Course Administrator. The OOPSM runs several courses including a postgraduate diploma (PGDip) and Masters (MSc) in Sleep
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supervise a Graduate Engineer, coordinate external contractors and specialist consultants, manage laboratory safety implementation, and ensure delivery of the programme to agreed technical objectives, budget
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organisation across species. This will be a key pillar of a larger UKRI-funded research programme developing anatomy-driven artificial intelligence methods for fundamental and translational neuroscience. Working