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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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a small amount of teaching to the department, of at most three hours a week during the academic terms. You will hold a relevant PhD or be near completion, in physics, mathematics, computer science
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as
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criteria: • Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience • Strong background in mathematical optimisation
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our website to find out more about the Department. About you You will hold a PhD/DPhil (or be near completion) in Bioinformatics, Statistics, Mathematics, Computational Biology, or a closely related
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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of direct relevance to computational single-cell and spatial genomics (bioinformatics, computer science, applied mathematics, physics, etc). You will have strong demonstrable competence with
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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/appointment where appropriate.) Location: Begbroke Science Park, Begbroke, Oxford The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials