536 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" positions at University of Oxford
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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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effectively within the research programme as outlined in the role description This is a full time, fixed term post (part time considered) for 3 years. The closing date for applications is noon on 14 April 2026
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). The postholder will be responsible for programme design, delivery, documentation, and cross-programmatic coordination of RLRH’s locally based learning and research hub. It is expected that the postholder will work
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for academic staff, space, health and safety and teaching allocation, and plays a key role in the strategic leadership of the Department. The Executive Officer is a central point of contact for the Section and
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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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different programmes both at undergraduate and graduate level. The teaching involves giving lectures, classes and tutorials. Depending on the programme, supervision might be provided in small groups
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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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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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, fostering an inclusive and egalitarian community. We offer: Membership of the University’s staff benefits program, including 38 days’ paid holiday (pro rata for part time appointments) and access to world
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using