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at the University of Cambridge. We are looking for a motivated, independent, and talented scientist. The successful candidate will work with Prof. Chris Pickard to develop their own research programme within
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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The University of Oxford is seeking an experienced Post Doctoral Research Scientist to join our laboratory team in the Radcliffe Department of Medicine (RDM) Division of Cardiovascular Medicine. RDM
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an interdisciplinary community of neurobiologists, engineers and computational scientists. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further
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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
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz Rico. Candidates should have strong experience in stereotaxic surgeries and Electrophysiology
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The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change
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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
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of the School of Biomedical Sciences with the School of Medicine. The merger brings together basic, translational and clinical scientists to provide new cross-School research collaborations while optimising