534 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
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as part of an CRUK Discovery Programme Foundation Award in close collaboration with Dr Robert Köchl between the Kennedy Institute of Rheumatology (KIR) and Kings College London (KCL). The focus
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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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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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stock reaches the shop floor and customers without delay. You will also support the picking, packing and dispatch of online and wholesale orders, preparing documentation, packaging goods securely and
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checks, minor DIY maintenance tasks, reporting faults through estates systems, and assisting with room setups for meetings and events. You may also support basic security duties such as opening and locking
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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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management and analysis of large-scale datasets to address joint GSK-Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines
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University buildings remain safe, secure and welcoming for all who use them. Location: Andrew Wiles Building, Oxford Salary: Grade 3: £27,534 - £28,437 per annum Contract: Full time, Permanent Please note
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the REF Working Group and Unit of Assessment (UoA) Lead to provide specialist administrative support for the Department of Computer Science’s submission to REF 2029. The postholder will ensure relevant
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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