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learning models for proteins and genomes to predict clinical impacts of mutations in cancer. The post holder will be appointed by the School of Cancer Sciences, working with Dr Ke Yuan and Professor David
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, physical sciences, or informatics. They will need to have completed the relevant NHS Practitioner Training Programme and/or NHS Scientist Training Programme, or equivalent, and be currently clinically active
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by UKRI’s Population Health Improvement UK (PHI UK). This initiative develops computational models to assess how policies under consideration by our policy partners would likely impact economic
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’ working with Professors Myles and Smith, alongside our collaborator Dr Martin Bishop (Kings College London). This British Heart Foundation-funded project, based in the Myles Lab, will examine cellular and
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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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play a leading role in a Pfizer-funded research programme focussed on vaccine effectiveness of maternal RSV vaccination in infants in Scotland. This study will be a secondary data analysis of routinely
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of The University of Glasgow Inference Dynamics and interaction Research group, in the School of Computing Science, including establishing and sustaining a track record of independent and joint publications
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Job Purpose To work on a Knowledge Transfer Partnership funded programme with the aim of embedding expertise in group III-V and group IV semiconductor materials, allowing for the creation of new
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specialty clinical training programme in Periodontics and engage in continuing professional development activities as appropriate to the specialty. Successful completion of clinical training will lead to the
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organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk/RDTC/ Regular attendance and contributions