276 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Glasgow
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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/skilled-worker-visa. As a valued member
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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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at: https://www.mygov.scot/pvg-scheme/ Please note that under Section 34(1) of the Protection of Vulnerable Groups (Scotland) Act 2007 it is a criminal offence to apply to carry out or to carry out regulated
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scientific area (e.g., physics, biomedical engineering, psychology, medicine, etc). A2 Knowledge of imaging research relevant to SINAPSE. A3 Broad understanding and awareness of research ethics, clinical trial
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initiatives to enhance reporting efficiency, accuracy, and timeliness. - Leverage technology and data analytics to strengthen reporting capabilities and deliver forward-looking insights. Stakeholder Engagement
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Student experience https://www.youtube.com/watch?v=oCXutRm1wc8 Study options Study options PhD: 3 years full-time; 5 years part-time MPhil: 1 year full time; 2 years part-time Also see our online Doctorate
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days) and August (approx. 15 days). Dates for this academic year are available on the Registry webpage: https://www.gla.ac.uk/myglasgow/registry/staff/exams/dates . As a valued member of our team, you
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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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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/skilled-worker-visa
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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