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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians
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which you will be encouraged and supported to use your initiative and creativity to identify areas for research, develop research methods and extend your research portfolio. In particular, focus
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of a PhD. • Expert knowledge of linear PDEs (in particular wave equations and elliptic equations), high-frequency asymptotics, and numerical methods. • Excellent communication and organisational
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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rehabilitation programme for people with MS with mild or moderate cognitive problems. The successful candidate will join an established multidisciplinary team of clinical researchers, led by Professor Roshan das
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We are looking for a researcher, whose expertise lies in numerical methods for dynamical systems, to work with Dr Rachel Nicks and Professor Stephen Coombes on a Leverhulme Trust - funded project
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). As Senior Trial Manager, you will support the Director of the NCTU and the Operations Team in developing and running our expanding programme of high-quality clinical trials of national and
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The role involves managing the Biomedical Research Centre (BRC) Gastro Theme programme including budget