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the Pandemic Sciences Institute. We are looking for a postdoctoral researcher with strong mathematical and statistical skills to complement the existing genomics expertise in the group. The position is available
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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a research group with responsibility for carrying out research for the UKRI ERC Guarantee Grant project General Theory of Implicit Regularization (GTIR). The post holder will provide guidance
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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developing new research methodologies • contributing to the development of new theories • analysing qualitative and/or quantitative data, reviewing refining as appropriate
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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mathematical skills, a strong understanding of mechanics and an ability to undertake scientific programming. You will have excellent written and oral communication skills, and an ability to work both
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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related dementias later in life. You will hold a relevant PhD/DPhil (or be close to completion) in the field of mechanical or biomedical engineering, applied mathematics, or another field relevant