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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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aid referee decision-making there are many other potential applications for this type of technology and data. The ability to capture the detailed movement of 22 players and officials around the entire
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Strategic Planning for the Integration of AI Data Centres into Energy Networks Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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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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extension to other immunotherapy-treated cancers to enable cross-cancer comparison and broader generalisability. The project will leverage two complementary data sources: the TrinetX global research network
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 1 month 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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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | about 1 month ago
how administrative data can be better used to inform the prevention of serious violence. It will examine how homicide and serious-violence data are generated, coded, linked, and analysed. It will draw
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This exciting fully funded PhD, will address the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities