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, engineering and AI with industry scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and
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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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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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Electronics Engineering, Electrical Engineering, Aerospace, or Computer Science. A PhD (or be close to submission) in Electronics Engineering, Electrical Engineering, Aerospace, or Computer Science or a related
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD in neuroscience, psychology, psychiatry, biomedical engineering, or related discipline. Documented
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD in neuroscience, psychology, psychiatry, biomedical engineering, or related discipline. Documented
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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