381 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD positions in United Kingdom
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to promoting a diverse and inclusive community, and offer a range of family friendly, inclusive employment policies. For further information on the WIRe scheme visit: https://cdtwire.com/ The project will be
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applications from all sections of society. How to submit your application Please complete the online application form via https://qpl.edgehill.ac.uk/apex_qlive/f?p=QL4S:LOGIN:::NO:SESSION:APP_SERVICE
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-making autonomy and human-machine teaming. The use of logic and data to make decisions, solve problems, and learn. Moving from rule-based systems to agents with strategic flexibility. The range and
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information from the Doctoral College website: https://www.herts.ac.uk/research/research-degrees-and-doctoral-college Interviews will take place: April 2026 (exact dates TBC) For informal enquires please email
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devices, the research will integrate established classical protection schemes with data-driven methods, including artificial intelligence and machine learning. The proposed protection strategies
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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: Res Dept of ICAB. Contact details:Tim Witney. tim.witney@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking
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Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition
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this potential through a national study of HRHIs in England, complemented by two in-depth case studies of St Bartholomew’s Hospital and the Thackray Museum of Medicine . This combination of breadth and depth will
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advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus on: Data Upscaling : Using ML U