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Contract & job type: Fixed-term, Full-time until 31 October 2026 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological
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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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near to completing a PhD in neuroscience, biology, or a related discipline. • Experience with hardware development, sensor integration, or custom device fabrication. • Experience with
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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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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