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computational sciences, decision-maker education campaigns, and training the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
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About the Role We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered...
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About the Role We are seeking a highly motivated and skilled part time (0.75 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered...
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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media, contributions in international conferences in the field of bioanlytical chemistry Didactic skills/experience in internship supervision Excellent knowledge of English (level C1), German (C1) team
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Bandgap Semiconductor Device Technology) to accelerate the UK’s ambition for NetZero by transforming the next generation of high voltage electronic devices using wide/ultra-wide bandgap (WBG/UWBG) compound
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languages would be desirable. IT skills. Excellent knowledge of English (C1). Team player and high social/communicative skills. What we offer: Work-life balance: Our employees enjoy flexible working hours
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, we're an outstanding university for students and awarded Best-ever performance in NSS & TEF (Gold) & REF. Join us and be part of a world class team, committed to growth, innovation and transforming lives
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work