49 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Swansea University
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Plan (2024) prioritises key areas relating to Culture, Heritage, and Sport – namely, “celebrating diversity, the historical narrative, and learning about our cultural diversity” (p.31), alongside a
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(https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/X037886/1 ), led by Gil Alexandrowicz, studying the interaction potential between hydrogen molecules and a surface. The MMI beam line has the
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working 14 hours a week. 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
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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
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December 2028 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
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are encouraged to apply. Further information and reviews can be found here - https://www.gpfellowshipscheme.co.uk/ Share Share this via Or copy the link Copy Download Job Description Print this page Back to list
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refinement or a loss of fidelity in critical regions. Machine learning provides a promising route to capture these relationships more systematically by identifying how local geometric features determine the
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Wales, meaning most paediatric records are handwritten and unstructured. The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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physics. This will include training and deploying machine-learning models that can recognise and classify geometric features critical to simulation accuracy, enabling the removal or simplification