512 data "https:" "https:" "https:" "https:" "University of St" PhD scholarships in United Kingdom
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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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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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
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working with adult participants across a wide age range and develop expertise in advanced biomechanical data collection and analysis techniques (e.g. optical motion capture, inertial measurement
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“drivers”, including health behaviours, hobbies, school experiences, and neighbourhood safety. Survey data are integrated with socio‑demographic and administrative records, including ethnicity, free school
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Neuropathies UK Charity. Further information on the projects can be seen on the University advert website: (https://www.exeter.ac.uk/study/funding/award/?id=5856 ) The PhD funding will be awarded on the basis
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. Experience undertaking archival research is desirable. You will have a background in the arts, humanities and/or social sciences. How to apply For information about how to apply for this studentship, see
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today’s digital age, we continuously share personal data dozens of times daily—yet 88% of UK consumers want more control over their information, and 42% felt they had no control over their personal data in
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of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large