35 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "INSERM" Fellowship positions at University of Nottingham
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have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively
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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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We are seeking a highly motivated and skilled Research Associate/Fellow to join an innovative translational research programme focused on childhood brain cancer. Based at the University
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across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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across work packages. You will be expected to plan and conduct your own analyses using available tools, to adapt existing methodologies and models, and design new models that improve our understanding
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are encouraged to discuss the details with the project leads: Dr Emma O’Dowd emma.odowd@nottingham.ac.uk and Professor David Baldwin david.baldwin@nottingham.ac.uk . You will be expected to plan and conduct work
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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About the role – The role is part of a large collaborative project Ocean Refuel (Home | Ocean REFuel) looking to use hydrogen from offshore renewables and optimise its use in a decarbonising UK energy system . Your focus will be to explore (computationally) the most promising processes to form...