273 engineering-computation "https:" "https:" "https:" "https:" uni jobs at University of Glasgow
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proactively to ensure smooth and effective delivery of technical skills teaching. 7. Keep up to date with advancements in technology and methodology, continually updating technical knowledge. 8. Providing
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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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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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with generous terms and 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
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their work into their scholarly practice as educators. Those who enter the programme will come from a variety of health professional backgrounds (including medicine, dentistry, nursing, veterinary medicine
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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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inequalities in higher education. The Athena SWAN Charter recognises commitment to advancing gender equality in Science, Technology, Engineering, Maths and Medicine (STEMM) employment in academia. https
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). The applicant will support general laboratory work and make essential contributions to a research programme focussed on understanding the assembly of the T. gondii mitochondrial ribosome on a structural and
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across all platforms. The software packaging team, as a core component of the End User Computing team in Information Services forming the pipeline to analyse, package, deploy, report and maintain every
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise