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will have a PhD or equivalent experience in statistics, medical statistics, or a related mathematical field Knowledge and experience of randomised controlled trials, including adaptive trial design and
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effective utilization of food surplus, while meeting wider economic and environmental objectives. The researcher is expected to have expertise in mathematical modelling and optimization techniques, as
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are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex
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applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM
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research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and script languages For informal queries please contact
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University Hospitals), Department of Mathematics (Royal Holloway University of London) and RiverD International. This project is an excellent opportunity for inter-disciplinary training in biomedical
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search using vacancy reference B02-08769. About you You will hold a PhD in neuroscience, engineering, computer science, mathematics, physics, or a related field, and have practical experience with in vivo
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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learning, computer science, physics, statistics, mathematics or related field. Demonstrated experience designing and developing novel machine learning and/or computer vision methods for either computational
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& mathematical sciences, security, arts, business and law. This distinctive Academic Fellowship scheme is part of a major strategic investment by King’s in “AI+”, which aims to accelerate innovation in responsible