35 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Swansea University
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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full-time, one ending on 30th September 2029 and one Maternity cover until 30th April 2027. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world
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and academic administrative responsibilities, the appointee will also be expected to work closely with clinical colleagues in Local Health Boards to support students during clinical learning experiences
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regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the resolution required for reliable prediction
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The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
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, these initiatives aim to revolutionise renewable energy access by integrating cutting-edge technology with social and environmental sustainability. Where to apply Website https://www.swansea.ac.uk/postgraduate
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planning commensurate with career stage in their CV and through their application document. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/aerospace-engineer
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Scientist will be part of the CHILI Hub. CHILI is short for Child and adolescent Health Impacts of Learning Indoor environments under net zero. (https://chili.ac.uk/about/ ) CHILI is a group of researchers
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working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies