294 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at University of Glasgow
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commitment to advancing gender equality in Science, Technology, Engineering, Maths and Medicine (STEMM) employment in academia. https://www.gla.ac.uk/schools/bohvm/athenaswan/ The College of Medical
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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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. You will be appointed at the appropriate level of Specialty Trainee and will enter the West of Scotland Higher Training Programme in Medical Oncology. You must already have a UK national training number
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to plan and organise own duties/workload effectively and efficiently to meet service requirements. C4 Some IT skills using email or ability to learn and use IT skills to support online fault reporting. C5
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of Computing Science in Partnership with Lloyds Banking Group. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as
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learning. 12. To actively contribute to the training programme for Clinical Scholars (Residents in Infectious Diseases/Veterinary Public Health) by acting as a principal supervisor or co-supervisor. 13
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requirements using a single test. Common equivalent English language qualifications accepted for entry to this programme TOEFL (ibt, mybest or athome) Tests taken up to 20 January 2026 96 Overall, no subtest
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and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow
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nurtured, and success is celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https
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from transcriptomic and epigenetic sequencing and other experimental approaches. 4. To develop and apply innovative computational approaches for the analysis of large sequence datasets from next