90 parallel-computing-numerical-methods-"Prof" research jobs at University of Nottingham
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An exciting opportunity has arisen for two Research Assistants (RAs) within the Institute of Mental Health. The RAs will be working on the ESRC/NIHR funded DETERMIND programme (www.determind.org.uk
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Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career
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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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multiple stage metal hydride compressors, prototypes, system integration, next generation metal hydride materials, heat transfer media and novel hydrogen extraction methods. The role-holder will work in a
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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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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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holiday entitlement of 27 (30) days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous
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Programme. The NBRC is a partnership between Nottingham University Hospitals NHS Trust and the University of Nottingham funded by National Institute for Health and Care Research (NIHR). The mission
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develop inclusive rural road infrastructure in developing countries. The successful candidate will have the chance to engage in the development of novel research methods, extend their research portfolio and
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be employed by the University of Nottingham at their Sutton Bonington Campus. Working closely with Cats Protection and other relevant stakeholders, you will employ a mixed methods approach to source