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high-impact research in a collaborative, interdisciplinary environment spanning medical statistics, epidemiology, clinical microbiology, and data science. You’ll work with large-scale electronic health
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Based at Oxford Population Health (Nuffield Department of Population Health), the Demographic Science Unit (DSU) is at the forefront of demographic research that aids society, government and
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Reporting to the Director of the Smith School of Enterprise and the Environment (“SSEE”), the post holder is the initiator of SSEE’s Sustainability AI Hub, and is initially expected to be a lone research expert responsible for managing their own project and targeting external funding for the Hub...
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an important role in the Oxford Cancer Clinical Trials Unit providing an effective administrative support service for the team running our clinical cancer research programme. This post is largely office/computer
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, ideally with experience as both a course or programme leader and an examiner, and an excellent working knowledge of the administrative and quality assurance processes which underpin a successful teaching
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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 required. Remote working is possible in
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About the Role We have an exciting new full-time opportunity for a Systems Administrator to join the department of Computer Science. Reporting to the Deputy IT Manager for Infrastructure, this role
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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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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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management and analysis of EHRs, a background in data science and machine/deep learning, and solid programming skills in Python and/or R. The program has already collected large clinical data sets-we are now