34 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at University of Glasgow
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2026 due to essential maintenance. We apologise for any inconvenience caused. Research projects Research projects Self-funded projects Indicative Data Science: Extracting 3D Models of Cities from
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supporting data collection activities in community-based travel and health related studies using varied data collection tools. Tasks include taking informed consent, distributing, and verifying self-complete
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. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https
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awards across 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. Closing date 8 January
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if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect: 1 A warm welcoming
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Job Purpose This PET Data Analyst and Modeller post focuses on developing and applying analysis pipelines for complex total-body PET imaging data from the MRC-funded Scotland Total-Body PET facility
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data with complementary datasets already collected, such as grain size and magnetic susceptibility. Through statistical investigation, the student willestablish robust connections between different
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and offer students an opportunity to train in a unique interdisciplinary culture and environment. The advent of large scale data sets from health services, the environment, public services and the
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Across Species Using Data-Driven Approaches Supervisor: Alberto Sanz Project description: Mutations in genes encoding mitochondrial OXPHOS components often cause devastating diseases. Paradoxically
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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 routinely