61 parallel-computing-numerical-methods Fellowship research jobs at University of Nottingham in United Kingdom
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We are looking for a researcher, whose expertise lies in Number Theory and Modular Forms, to work with Dr. Fredrik Stromberg, on an EPSRC-funded project entitled “Explicit Methods for non
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to peer-reviewed journals. The role holder will have the opportunity to use their initiative and creativity to develop research methods and extend their research portfolio. Both positions are full time and
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Recognised Researcher (R2) Country United Kingdom Application Deadline 8 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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) Country United Kingdom Application Deadline 8 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not
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will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio Candidates must hold a PhD, or be near
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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 values
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bonuses of numerous values for excellent work • We are committed to staff development through the provision of training, continued support, and career progression opportunities
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of 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 values for excellent
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opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. This position requires extensive experience working with genetic
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opportunities for people traditionally under-represented in mathematical education research and to enabling everyone to flourish. You must have expert knowledge of quantitative research methods and statistical