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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably
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environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance
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) programme. It is also linked to the National Institute for Health and Care Research (NIHR) project ‘Improving primary health care for patients with non-communicable diseases during severe flooding in India
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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in any element of the recruitment process, you can contact the Computer Science Recruitment Team at COM-Recruitment@sheffield.ac.uk Our vision and strategic plan We are the University of Sheffield
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instance), working full-time for 37.5 hours per week, though where possible, part-time arrangements may be considered. About You With a background in materials science, physics, engineering, computer
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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skeletal muscle metabolism and how exercise affects it. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division