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We seek a research associate to work on the development of a computational fluid dynamics (CFD) workflow in an industrially focused project in collaboration with Great Britain Cycling Team (GBCT
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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
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of administrative and survey data on health and care spending, utilisation, and outcomes Design and undertake micro-econometric analyses Develop networks and productive working relationships with key
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Purpose of the Job The FENDER programme aims to bring game-changing ideas and exploit advances in complimentary areas of science to trigger a UK-led renaissance in electromagnetic NDE, boosting the
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, microplastics; by means of numerical and experimental approaches including high-performance computing, data science methods via machine learning/AI and digital twins, enhancement, development and of application
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community (e.g. engage in Dalton outreach activities, Dalton early career researcher development and networking, and/or contribute to the Dalton policy group) We welcome candidates who bring diverse
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activities, Dalton early career researcher development and networking, and/or contribute to the Dalton policy group) We welcome candidates who bring diverse perspectives, experiences, and approaches
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Technologies; Socio-Technical Systems and Networks; and Geography, Place and Innovation. MIoIR has a strong international reputation for both fundamental and applied research, with close engagement with policy
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Services Research & Primary Care, School of Health Sciences at The University of Manchester. The NIHR School for Primary Care Research (SPCR) is launching a development fellowship programme to build nursing
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transmission or an extensive offshore, multi-terminal HVDC network. The programme will develop the right tools to inform planning, operation, policy and investment, and the Project Manager will help deliver