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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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School (https://www.swansea.ac.uk/postgraduate/taught/medicine/physician-associate-studies-mpas/ ). As a lecturer on the MPAS programme you will be required to teach across the programme, in the delivery
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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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of Nursing. Further details about the School of Health and Social Care and the Department of Nursing can be found on the following website: http://www.swansea.ac.uk/nursing/ Academic Career Pathway The pathway
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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 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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secure, privacy-preserving mental health research. The role will be based within the Secure eResearch Platform (SeRP) team at Swansea University, a nationally recognised leader in secure data
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March 2027 working full-time. This is an exciting opportunity to support our information security programme. We are looking for someone to play an essential role in developing and co-ordinating our
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at Swansea University Medical School , we host a range of world-leading research programmes and initiatives, including: the Secure Anonymised Information Linkage (SAIL) Databank , enabling population health