31 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Swansea University
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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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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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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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to take up learning and exchange offers from universities and research organisations. The Senior Project Officer will be part of the coordination team across the seven universities in the consortium
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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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dynamic team environment where they can further develop their skills learning new approaches and development methodologies such as SCRUM. Equality, Diversity & Inclusion The University is committed
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team-player who can contribute to the University and School’s ambitions to be at the forefront of digitally-enhanced learning, helping to build on the School’s excellent student experience record