141 systems-science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at University of Oxford
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to translational therapeutic development at the interface of chemistry, biology, and medicine. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a
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in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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vaccines during a pandemic. The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic
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within the Department of Engineering Science (based in Headington, Oxford). The post is funded by Podium Analytics and is initially fixed-term to 30 September 2027, with possible extension subject to
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We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Witt Lab for Trust in AI (OWL) in the Department of Engineering Science (Central Oxford). The post is funded by Open
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), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund for Innovation and Research in Sustainability and Technology (SCGC-FIRST) and is fixed-term for 12 months
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interpretable, biologically grounded AI systems to understand the genetic origins of disease, with a particular focus on cancer. The successful candidate will play a leading role in developing high-throughput and
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The University of Oxford is a stimulating work environment which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and