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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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, and process systems engineering. Your experience and ambitions We are looking for highly motivated candidates with: Excellent PhD research results Experience in industrial collaboration and working in
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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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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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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
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health. Bringing together experts across basic science, engineering, clinical practice, and population health, FoDOCS fosters a highly multidisciplinary environment that spans fundamental discovery through
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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, Chemistry, or Engineering, you will be an enthusiastic and self-driven researcher able to plan and deliver high-quality scientific work. You will hold (or be close to obtaining) a PhD/DPhil in a relevant
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learning informed by the results of biophysical simulations in the prediction and analysis of cell organisation in tumoroids. Cells are active and can both manipulate and be manipulated by their environment
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offers opportunities to publish, present at conferences and contribute to advances in marine engineering and sustainable aquaculture. About You You will hold a PhD in Mechanical/Marine/Computational