58 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Glasgow
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. Deliver proactive and educational responses to behavioural challenges, contributing to the ResLife Strategy Programme. 7. Identify student needs through engagement with diverse groups (e.g., LGBTQ, interest
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Job Purpose The University of Glasgow is seeking to appoint a talented and highly motivated Senior Programme Manager to join the £7.5m Policy Modelling for Health consortium, funded by UKRI’s
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engaging and managing stakeholders at all levels to ensure clarity in the delivery of key programme messages. 9. Design, co-ordinate and implement continual process improvements across the Centre, ensuring
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Job Purpose The postholder will be responsible for planning, developing, and undertaking a national programme of archive surveying for Scotland’s sporting collections. This will include launching
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learning resources as outputs from thematic surveys and a family/educational workshop for the thematic survey related to the Commonwealth Games. As well as an ongoing programme of engagement activities
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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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for the operational delivery of the Directorate’s enterprise programme activities. The post does require some evening and weekend support for programme delivery. Main Duties and Responsibilities 1. Ecosystem Support
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overall accountability for the operational delivery of the Directorate’s enterprise programme activities. Main Duties and Responsibilities 1. Ecosystem Support: Deliver advice and support to enhance current
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bespoke development programme with the guidance of Prof. Solana and the Research Support Office to identify the most relevant learning and development opportunities available at the University. Moreover
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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