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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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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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. It is also anticipated that input into post-registration curricula and development of existing curricula within the nursing health field will be required both within and outside the Department
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UNESCO Chair in Sustainable Energy Technologies and the REACH-PSM project (Resilient Renewable Energy Access Through Community-Driven Holistic Development in Perovskite Solar Module Manufacturing
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and interaction between devices have a significant impact. In this project you will work on and develop numerical modelling capabilities for arrays of turbines with non-homogeneous flows and wake
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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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, realistic configurations and develop a skill set that is highly valued in both academic research and advanced engineering computation. Funding duration – 3 years Where to apply Website https
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allowing elements to span across multiple CAD faces without explicitly modifying the geometry. However, these ideas have not yet been developed in high-order settings, where curved elements, geometric
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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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and geometric context. The project will develop a machine learning framework that learns the link between geometric variation, coupled physical responses, solution sensitivity and mesh spacing