24 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:" Fellowship positions at University of Nottingham
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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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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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, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and
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Gerada, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student
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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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cancer: establishing mechanisms of adaptation to advance optimisation and stratification”. You will be expected to plan and conduct work using wet-lab approaches and methodologies and will be responsible
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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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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological