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research on appropriate statistical and machine-learning methodology in the areas of large scale omics data such as genomics, transcriptomics, proteomics/metabolomics and the integration of these, as
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The School of Mathematics & Statistics combines world-leading research expertise in pure mathematics, applied mathematics and statistics. Our research in statistics impacts across a range of areas
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JobPurpose A Lead Biostatistician works independently, carrying out statistical programming, analyses, reporting, validation, consultancy and, where applicable, teaching. This involves managing
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documentation and ensuring all necessary permissions are in place for research projects to proceed. 4. Clean and manage research datasets to ensure they are suitable for analysis; and conduct statistical
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presentations. Desirable: D1 Experience with statistical analyses. D2 Experience in proteomics D3 Data handling and management skills. Experience Essential: E1 Sufficient breadth and/or depth of knowledge in
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, including ability to conduct advanced statistical analytical techniques using a relevant software package (e.g. R, Stata, SAS). C5 Effective verbal and written communications skills, especially communicating
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the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s) Knowledge and Skills Essential: C1. Knowledge of advanced statistical methods
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Statistics at the University of Glasgow. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is available for a period of 30 months. The successful candidate will also
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science, AI, data science, computer vision, mathematics, statistics or research software engineering. A3 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism A4 Knowledge
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across the institution. Main Duties & Responsibilities • Deliver statistically robust insight and analysis into all areas of innovation and economic development, for example, progress against key