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experiences in simulation-based experiments in networking research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and
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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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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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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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team consists of researchers across sustainability, food systems, operations and supply chain management, computer science, environmental and animal science, and environmental statistics. The successful
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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
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mathematical and physical sciences with experimental analysis in biology and biomedicine (Living Systems Institute | University of Exeter ). Fusing different disciplines empowers discovery across scales; from