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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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the Hasso Plattner Institute. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor Paul Goldberg
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About the role We have an exciting opportunity to join the Kavi Institute for Nanoscience Discovery (KINsD) in the Department of Chemistry as a Postdoctoral Fellow supervised by Professor Dame Carol
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physics, computational chemistry, protein biophysics, electrophysiology, molecular genetics, and behaviour. We are thus uniquely positioned to address and move towards solving this fascinating and
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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contribute to a programme exploring how experimentation and innovation unfold in public services, using immersive qualitative research methods such as fieldwork, interviews, and facilitated learning sessions
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the responsible deployment of AI in clinical environments. To be considered, you must hold a Masters degree in engineering, mathematics or computational and have demonstrated experience in programming
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at the University of Oxford and work collaboratively with academic partners at Warwick, Berkeley, Potsdam, Groningen and beyond. This post is based at the Department of Computer Science and on-site working is
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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with expertise in obstetrics/obstetric medicine to play a senior role in delivering this highly clinically important research programme. The role will give you wide exposure to different research