60 data-"https:"-"https:"-"https:"-"https:"-"Inserm" positions at University of Glasgow
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Information Studies has a vibrant research culture with a growing number of doctoral and masters students, exploring a range of topics in the fields of information studies, museology, digital
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PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words Apply now Research projects Research projects Self-funded projects Indicative Data Science: Extracting 3D Models of Cities
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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: 23:45 on Wednesday 4th March 2026
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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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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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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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information Meteorites have been extensively analysed to determine the source and abundance of water delivered to the early inner Solar System [e.g.,1-4]. These studies are largely based on hydrogen abundance
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Our aim is to advance world-leading research and teaching that promotes health equity, addresses emerging health threats, and harnesses data-driven innovation to improve local and global population
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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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data with complementary datasets already collected, such as grain size and magnetic susceptibility. Through statistical investigation, the student willestablish robust connections between different