67 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Swansea University
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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
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shaving/shifting, voltage and frequency support, and virtual inertial response. Due to the volatile and intermittent nature of RESs, in this project, machine learning (ML) methods are used to accurately
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working 21 hours per week. The Gambling Research, Education and Treatment (GREAT) Centre is seeking a Research Officer for the Look Back to Move Forward study of pathways to gambling harm among Armed Forces
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individual to provide advice, support and training to facilitate effective digital learning at the University. The Education Development Team (“EDT”) works together with Faculty and professional service
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, research and professional learning opportunities that support innovation-led transformation across public, private and third-sector organisations. This role will be pivotal to maintaining and expanding
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on gambling harm among the UK Armed Forces community. The individual will join a growing community of academics, researchers, students and support staff in the Gambling Research, Education and Treatment (GREAT