206 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"Keele-University" PhD positions in United Kingdom
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candidates who pay UK/home rate fees. See UKCISA for further information . Starting in October 2026. Later start dates may be possible, please contact Dr Gustavo Carneiro once the deadline passes. You will
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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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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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PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
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- See advert for details Deadline: 13 April 2026 Supervisors: Dr Subhash Lakshminarayana (Lead) and Dr Michael Faulkner Safeguarding Power Grid Stability in the Age of Artificial Intelligence (AI) Data
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methods and approaches then consider working with us. Digital futures in design and creative arts interrogate the transformative impact of AI, data, and emerging technologies on practice, society, and
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next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
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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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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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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