102 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "https:" positions at University of Glasgow
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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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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
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Job Purpose We have an opportunity for a Research Assistant to contribute to a programme of research, RIPPLE, led by Dr Beatriz Goulao and aiming to improve the sustainability of the health services
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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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disease in Atlantic salmon, Salmo salar L., in Tasmania. Journal of Fish Diseases 22: 433-443. https://doi.org/10.1046/j.1365-2761.1999.00175.x Rodger H (2013) Amoebic gill disease (AGD) in farmed salmon
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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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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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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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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