613 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions at University of Oxford
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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-to-phenotype models for human health at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data
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-quality, safe, accessible, and welcoming front-of-house operations across a year-round programme of arts, academic, and public events. This is a hands-on role requiring strong leadership, customer service
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We are offering 3 opportunities for Postdoctoral Researchers to join a new Oxford–AbbVie Immunology collaborative programme at the interface of academia and industry. These posts provide
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, security, and efficiency of systems that underpin world-class research, teaching, and administration. What We Offer Working at the University of Oxford offers several exclusive benefits, such as: 38 days
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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support the smooth day-to-day running of the galleries. You will also highlight key objects on display, once trained and help maintain security and safety, respond appropriately to incidents, and prepare
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an effective Supporting Statement. Owing to the nature of this position any offer of employment with the University will be subject to a satisfactory security screening. The closing date for applications is
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This Research Assistant position supports a UKRI-funded research programme developing anatomy-driven artificial intelligence methods for cognitive and translational neuroscience. The role focuses
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, and intervening in the internal representations and computations of large-scale AI systems. The project explores areas including automated circuit discovery, structured capability hypotheses from