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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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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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computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data
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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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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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combs and their applications in neuromorphic computing and high-speed optical fibre communications. You will also be involved in the design, development and numerical modelling of novel signal processing
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group. The ideal candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a strong interest in biological
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opportunities to see your research implemented in real-world applications. Your background and expertise You have a recent doctoral degree in electrical engineering, control engineering, computer science, applied
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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For Doctoral Researcherposition: MSc in Applied Mathematics, Engineering Physics, Electrical Engineering, or related field. For Postdoctoral Researcherposition: PhD in Applied Mathematics, Engineering Physics