520 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Oxford
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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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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, 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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supervise a Graduate Engineer, coordinate external contractors and specialist consultants, manage laboratory safety implementation, and ensure delivery of the programme to agreed technical objectives, budget
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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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on the programme, supervision might be provided in small groups or individually. The teaching, supervision and administrative load will be 336 ‘stint points’, which is the unit in which teaching and supervision