84 parallel-computing-numerical-methods Fellowship positions at University of Nottingham
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, Public Health, Epidemiology or Statistics related field. They will have previous experience manipulating large health datasets and using epidemiological research methods. They will also be able to work
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Recognised Researcher (R2) Country United Kingdom Application Deadline 19 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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An exciting opportunity has arisen for a brain stimulation research fellow within the Academic Unit, Mental Health and Clinical Neurosciences. As part of an MRC programme grant, the post holder will
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, proteins/amino acids and fibre), and techniques in examining food structure. Experience with cell culture methods is desirable. Strong communication skills, initiative, commitment to the project and the
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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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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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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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2 Oct 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Computational chemistry Computer
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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