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City St George’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George’s, University of London into one institution. The combined university is now one of the largest higher...
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Role type : Continuing; 0.8 to 1 FTE (negotiable) Faculty : Faculty of Medicine, Dentistry & Health Sciences Department/School : Collaborative Centre for Genomic Cancer Medicine Salary : Level C - $149,701.00 - 172,613.00 p.a. plus 17% super Lead groundbreaking cancer genomics research /...
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(Internal Only) The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of safety critical engineering relating to Thermofluids and Materials to work across several industry relevant projects and for the development of future...
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Role type : Continuing; 0.8 to 1 FTE (negotiable) Faculty : Faculty of Medicine, Dentistry & Health Sciences Department/School : Collaborative Centre for Genomic Cancer Medicine Salary : Level C - $149,701.00 - 172,613.00 p.a. plus 17% super Lead groundbreaking cancer genomics research /...
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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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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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& 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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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