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sensing. are essential as well as strong computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term for 18 months
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at the William Harvey Research Institute (WHRI , Queen Mary University of London, QMUL ), whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and
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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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Deadline 16 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Research Assistant/Associate We are looking for a postdoctoral researcher to perform experiments with optical metamaterials. The post arises from the ERC-Advanced project “Light interaction with synthetically moving metamaterials-LUMINOUS” at Imperial College London with the objective of...
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candidate will be required to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity
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predicative models of disease. Our integrated research programme has flexibility for the candidate to contribute to multiple ongoing initiatives whist driving their own research projects applying bioinformatics
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Hopkins University (USA), and Google Deepmind (London).* About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk