87 parallel-computing-numerical-methods-"https:" Fellowship positions at University of Nottingham
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involving human participants. Additional desirable criteria include experience of developing new research approaches, models, techniques, or methods. What we offer- A friendly, diverse, and supportive working
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survivor perspectives. The study focuses on stakeholder and survivor engagement in focus countries: the UK, South Africa, and Kenya. The study adopts a mixed-methods approach, combining systematic evidence
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assessment of future paving materials. The successful candidate will have the chance to engage in the development of novel research methods, extend their research portfolio and contribute to the evolution
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have practical experience of data analysis using CPRD or equivalent primary care datasets and experience of developing new approaches, models, techniques or methods using primary care data. Research in
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are now recruiting 2 full time Research Fellows to work with Stephen
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to starting the post. Expert knowledge of gravitation. This should include one or more of the following: gravitational-wave modelling or data analysis, black hole perturbations, mathematical or numerical
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We are looking for a researcher, whose expertise lies in statistics or biostatistics, to work with Dr. Aidan O’Keeffe on an NIHR/MRC Better Methods, Better Research funded project entitled “Flexible
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The role-holder will work dynamically within the Rights Lab’s Law and Policy Programme to support collaborative research projects focused on antislavery and anti-trafficking governance, focusing
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Applications are invited for a Research Fellow post on a Medical Research Council funded project in the laboratory of Dr Rachel Clifford (Biodiscovery Institute) https://www.nottingham.ac.uk