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goals. Organise and facilitate interactive workshops and stakeholder meetings as part of the research process, generating qualitative and quantitative data to test and refine platform content and
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collaborative team engaged in a range of research projects in marine hydrodynamics, both computational and experimental. This is a fully on-site role, with work taking place in the office and laboratory. We
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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immune regulation, inflammation, or disease susceptibility. This project offers a unique opportunity to work at the intersection of human genomics, microbiome science, and computational biology, with
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stipend at the UKRI rate (£20,780 in 2025-26 for full time students), and a contribution towards research and training costs; A personalised training programme, to develop research, communication
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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chemistry timeseries through a period of rapid sea ice decline, to explore the effect of changes in sea ice extent on ocean CO2 uptake and to investigate climate change impacts on ocean CO2 uptake at Rothera
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Type of award Scholarship Managing department School of Natural Sciences Value The School of Natural Sciences are committed to building a diverse community of students and staff that fully reflects
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of Edinburgh and will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Ivan Rungger, National