138 data-"https:" "https:" "https:" "https:" "Simons Foundation" positions at Swansea University
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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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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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11 Dec 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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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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personnel working on the studies (statistician, data managers, administrators, qualitative researchers etc). As such they must be organised and have excellent interpersonal and communication skills
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personnel working on the studies (statistician, data managers, administrators, qualitative researchers etc). As such they must be organised and have excellent interpersonal and communication skills
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Administrator (maternity cover) to be at the heart of our administration office, leading day-to-day operations and taking responsibility for running and developing our key data systems. This role is central to
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endeavour to create a wide reaching and innovative dementias research facility, incorporating different research disciplines from stem-cell research to data analysis. DPUK is a world leading resource for
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holding a master’s degree, will be considered on an individual basis. Selection process Please see our website for further information Website for additional job details https://www.swansea.ac.uk
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forecast local generation and demand. To do so, historic local data (e.g., the active buildings in Swansea University) and Met Office data will be used to train and validate the proposed ML model