36 computational-statistics-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions at University of Nottingham in United Kingdom
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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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
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent
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. The Research Associate/Fellow will be a human computer interaction (HCI) specialist in qualitative (interview) data collection, analysis, and sensemaking. They should also have a broad understanding of
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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, 268002 (2021)]. We will use innovative experimental techniques employing particle tracking of model 2D vibrated particles to test fundamental theoretical concepts in statistical physics. The successful
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Applications are invited for a Research Associate/Fellow, based in the Institute of Mental Health (IMH), to work on the NIHR-funded Lived Experience Narratives in Dementia (LEND) programme. This is
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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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. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses