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computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust. You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a
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, Statistics, Mathematics, Computer Science, or a related computational field with demonstrated relevance to tissue biology or immunology—particularly in the context of inflammatory diseases—or a PhD in
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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responsibilities are described in the job description for this role. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health
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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow
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-time for 12 months About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and
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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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Calinescu and Prof Doyne Farmer. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford. The project is intended
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Brian Nicholson (Cancer Theme). The successful applicant will be Stats lead for the EBHC DPhil programme and Methodological lead for the Cancer Theme. Responsibilities will include providing strategic
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is essential that you hold a PhD/DPhil (or be close to completion) in a relevant discipline such as molecular/synthetic biology, biochemistry, biophysics, biological chemistry, biotechnology