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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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, or be close to completion of, a relevant PhD with relevant experience in molecular plant biology. Ideally, they will also have previous experience working with Marchantia polymorpha and/or
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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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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hours a week during the academic terms. You will have, or be close to completing, a PhD in applied mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline to
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, or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge in either random matrix theory, analytic number theory or probability to work within
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difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (eg Operations Research, Management Science, Statistics, Machine Learning, Applied Mathematics
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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