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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 2 months ago
2026. The project. Forty‑two percent of working‑age adults in England struggle to understand everyday health information, creating serious barriers to informed medical decision‑making and patient safety
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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Contract type: Fixed term (Fixed Term for 6 months to complete a specific task or time limited work) Are you an ambitious early-career researcher with expertise in global health, data governance
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The job information is shown below. Please click on the links to see full details. The Student Administration service supports learning and teaching at UWE and helps enhance the student experience
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, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Transform how we determine biomolecular structures. This PhD develops generative AI tools that use
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their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National
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their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National
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Data Research UK (https://www.sdruk.ukri.org ). The Digging into Digital Footprints project aims to create an open framework to help researchers better understand and use ‘digital footprints data’ in