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Job Purpose Working with the Schools’ Programme Team Leader to coordinate the University WP Schools’ Programmes and ensure their effective and efficient delivery to c. 5,000 S4-S6 secondary school
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of cells. Our computational team supports the research activities of both experimental and computational scientists within the CVR (https://cvr.ac.uk). The postholder will contribute to the analysis
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Job Purpose To provide assistance and laboratory support to academic and student service users. Work will support the smooth and effective running of teaching laboratories in line with the College/Institute/School Strategy. Main Duties and Responsibilities 1. Provide knowledge exchange...
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. The posts will be based in the University of Glasgow, University of Dundee, University of Edinburgh and University of St Andrews with potentially up to 7 fellowships available . Our aim is to develop
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computing. In the UK's 2014 independent research exercise, we were rated top in Scotland for research impact. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2
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Job Purpose To make a leading contribution to the development of innovative muon tracking algorithms for cutting-edge applied nuclear physics research. The successful candidate will be expected
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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systems beyond commercially available peptide based systems. A6 Knowledge of data science driven approaches to drug discovery algorithms. For appointment at Grade 8: A4 Some reputation in, and insight
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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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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models