307 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" positions at University of Glasgow
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researchers and data scientists. In this project, the postholder will focus on developing and running the IBD cohort studies aligned to this program. Job Purpose This role will allow the development
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, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing Date: 11 January 2026 at 23:45
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the University. We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. For informal enquiries please contact Dr Mark
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delegated support activities, including directional information about the location of campus buildings, providing access to services for campus users, contractors and visitors and as and when required
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, social events and academic programmes. We accept applications at any time in the year and have two yearly intakes: January and October. For further information contact: grigorios.kotronoulas@glasgow.ac.uk
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website https://www.gla.ac.uk/explore/jobs/ for more information. Informal Enquiries should be directed to Professor Pamela Murison, Pamela.Murison@glasgow.ac.uk Closing Date: 19 February 2026 at 23:45.
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exposure on health outcomes in people with multimorbidity, using a combination of population-based data analysis and controlled experimental approaches. The project will analyse large-scale longitudinal and
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of approaches to research including decision analysis modelling, cost benefit and effectiveness analyses, risk and prediction modeling, data linkage and advanced meta-analysis. We have excellent
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, Quantitative Data Analysis, Introduction to Social Theory for Researchers, Applied Qualitative Methods, and Generalised Linear Models. Opportunities for postgraduate funding are available through the Scottish
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the ecology of infectious diseases, and thereby benefiting greatly from overlap with strengths in spatial and quantitative ecology. Our modelling is developed in close proximity to data, and focused