415 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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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
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. This project is part of the GO-PRECISE program, focuses on the development of preventative vaccines against cancer. We are seeking a passionate and motivated individual to join our team to contribute to cutting
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of the Head of Development – Medical Sciences. To be successful in this role, you will have: Proven fundraising experience in a complex organisation and direct involvement in securing major gifts at the £50,000
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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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innovation, environmental sustainability and food and water security, law, governance and human rights are cross-cutting themes. Independent proposals on any India-related theme which fits within the overall
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. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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primarily computational but partners with multiple international labs (including Harvard, Yale, UC San Francisco [UCSF], and the New York Genome Center) to co-design experiments and generate novel datasets