326 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" positions at University of Glasgow in United Kingdom
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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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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 A flexible
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levels of tooth decay than their peers. The project: The Childsmile programme (https://www.childsmile.nhs.scot/), funded by the Scottish Government, aims to improve child oral health, and reduce
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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
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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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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 of our team, you
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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 of our team, you can expect: 1 A warm welcoming
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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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). 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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multidisciplinary team of computer scientists, bioinformaticians, clinicians, and experimental scientists. References Fu X, Sahai E, Wilkins A. Application of digital pathology-based advanced analytics of tumour