492 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Oxford
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About the Role The Department of Computer Science, University of Oxford, is seeking a Departmental Lecturer in Computer Science. You undertake teaching (primarily practicals and classes, and
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released for a secondment before you submit an application https://hr.admin.ox.ac.uk/secondments Only applications received online by 12.00 midday (GMT) on Tuesday 3 March 2026 can be considered. Interviews
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Scholarships (https://www.ox.ac.uk/clarendon). The University is committed to expanding the number of scholarships available for outstanding postgraduate students, and the Clarendon Fund’s growth means we
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Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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at the CNCB, which shares responsibility for the running and maintenance of the facility. More information about the Goodwin lab can be found at: https://www.cncb.ox.ac.uk/the-science/research-groups/goodwin
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British Heart Foundation (BHF) Professorship awarded to Professor Keith Channon. As the senior scientist you will lead a programme of research investigating the molecular mechanisms of cardiovascular
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criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be
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We are seeking to appoint a Research Programme Manager to provide professional support to the GSK-Imperial-Oxford Modelling-Informed Medicine Centre (MiMeC), an inter-disciplinary cross
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine