311 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at University of Glasgow
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to attend workshops and training in generic transferable skills organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http
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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://www.gov.uk
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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 and engaging organisational culture, where your
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time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health
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in AI and the use of computational techniques applied specifically to imaging and sensing in neuroscience applications; neuroscience and design of experiments involving technologies including fNIRS
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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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contributing to the University’s development at an exciting time following the publication of our new Strategic Plan and major redevelopment plans for the campus. For further details, please visit: https
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of the service/research/teaching aims, promote the technical community and support the broader strategic aims of the University, including for the Technician Commitment https://www.gla.ac.uk/myglasgow/staff
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). The applicant will make essential contributions to a research programme focussed on understanding the assembly of the T. gondii mitochondrial ribosome on a structural and evolutionary level. A successful
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strategy. Knowledge, Qualifications, Skills and Experience Knowledge &Qualifications Essential: A1 SCQF Level 10 (Honours degree) in Statistics/Computer Science or a cognate discipline, or equivalent. A2