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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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Researcher (R1) Application Deadline 25 Jan 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a
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comprehensive, up-to-date knowledge of MR procedures, safety, legislation and quality standards, with flexibility to rotate across sites to meet scanning demand. What you will get in return: Fantastic market
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for Future Capability: Lead strategic planning for food production infrastructure and resources to meet evolving business needs and expansion opportunities. Governance & Compliance: Oversee food safety
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identification of potential funding sources and to assist the PI in the development of proposals to secure funding from internal and external bodies to support future research. 7. Take a leading role in developing
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their programme. This will include acting as front-line support for student queries in a range of locations on a rota basis. You will possess good organisation and communication skills and you will be keen to
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, ensuring secure, seamless access to university systems, supporting the entire identity lifecycle from onboarding to offboarding. The Role You will, as part of the team, support all aspects of the identity
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Arrangements: 9-5pm Closing Date : 04-Mar-2026, 11:59:00 PM Disclosure and Barring Service Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y
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to develop and enhance our research and/or impact profile. 6. Take a leading role in the identification of potential funding sources and to assist in the development of proposals to secure funding from
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complement our interdisciplinary research culture in one of the four broad domains: data science for psychiatry and mental health-care; data-intensive computational neuroscience; data-intensive bioinformatics