276 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at University of Glasgow
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Please note that this vacancy is only open to current University of Glasgow employees. Job Purpose As part of a cross-College team, this role will manage the services for Learning and Teaching and
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on real-world health data analysis — including study design, data wrangling, phenotype development, data integration, and statistical and machine-learning methods — to accelerate project delivery
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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 The School of Infection and Immunity (https://www.gla.ac.uk/schools/infectionimmunity/) MRC-University of Glasgow Centre for Virus Research (CVR) (http://www.cvr.ac.uk/) is seeking
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appropriate C7 Self-motivation, initiative and independent thought/working C8 Problem solving skills including a flexible and pragmatic appropriate Desirable: D1 A background in machine learning as applied
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, Counselling & Psychological Services, Disability Service, Learning Enhancement and Development Service (LEADS). The network of College-based Student Support Officers is now expanding to create teams who will
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
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of drugs and consumables are maintained, ensuring the best value source is used for drug supplies and add new stock items to the computer pricing system. Maintain appropriate stock levels in the clinic
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conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working
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. Support publication of data assets, including preparation of formats, metadata, and access methods. 9. Continue to learn new methods, frameworks, and technologies to support innovation in software