269 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Glasgow
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Operations. 11. Direct supervision of the UGS Learning and Teaching Administrators ensuring that all aspects of people management, development and review are in place across the team. 12. The role holder will
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successful in your application, the offer of employment will be subject to PVG Scheme membership. Further information is available at: https://www.mygov.scot/pvg-scheme/ Please note that under Section 34(1
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Willingness to develop and enhance own skills and knowledge by participating in training to acquire additional skills and broaden knowledge. C7 Good communication and interpersonal skills (written & oral). C8
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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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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 and engaging
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SWAN Charter recognises commitment to advancing gender equality in Science, Technology, Engineering, Maths and Medicine (STEMM) employment in academia. https://www.gla.ac.uk/schools/bohvm/athenaswan
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An authoritative and up to date understanding of leadership development within the Higher Education and/or business landscape. A3 Sound knowledge of theories on adult learning, including virtual learning
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] 8. Create, distribute and analyse event feedback surveys and produce concise summary reports capturing outcomes and learning. 9. Prepare short reports, briefings and occasional presentations for SULSA
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development of creative and innovative approaches to teaching and learning. 4. To actively seek to further advance own knowledge within the profession, to keep abreast of current changes in practice and
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the requisite experience. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. B2 Experience with high dimensional statistical, machine learning and deep