61 parallel-computing-numerical-methods research jobs at University of Nottingham in Uk
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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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: - Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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also promote the work of the PHIRST programme as a whole via various means including presentations. Based at the University of Nottingham University Park Campus, this is a fixed term, part-time (0.6FTE
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An opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive Technologies
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A fantastic opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive
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of the project’s four research sites, using feminist, creative, and participatory methods including qualitative interviews, counter-mapping, and Photovoice. They will analyse qualitative data, and
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appointed will have the opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. The post is offered on a full time
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United Kingdom Application Deadline 10 Sep 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and