432 computer-security-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Oxford
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for the supervision and security of the library. This is a full-time post, working 36.5 hours per week. This role requires regular manual handling (as the post includes unpacking boxes, moving materials and some
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visitors. Maintain food safety, hygiene and allergen standards, keeping our spaces clean and inviting at all times. Replenish stock and help keep the café running smoothly day-to-day. Support colleagues by
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to prioritise tasks, coordinate support from other trades, and ensure all work meets safety, quality, and customer service standards. Using our CAFM system (Planon), you will record and track progress, ensuring
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backgrounds. You will follow operating procedures and cash handling regulations to ensure shop security, support stock movements and replenishment, receive deliveries, and assist with preparing and dispatching
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We are seeking to appoint an Academic Programme Officer- MSc Health Service Improvement and Evaluation on a Maternity cover. You will be working closely with Academic Programmes Manager in a growing
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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supervision. The role will also involve contributing to the securing and monitoring of internships. Graduate teaching responsibilities may include the co-supervision of master’s and doctoral students. Further
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delivery of the UNIQplus postgraduate access programme. Location: University Offices, Wellington Square, Oxford OX1 2JD Salary: £35,681 - £41,636per annum, including Oxford University Weighting
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The Department of Statistics is seeking to appoint a StatML CDT Administrator. The EPSRC CDT in Statistics and Machine Learning (StatML) is a four-year PhD/DPhil research programme. It trains
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal