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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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Understanding and experience of databases and other IT applications/packages Desirable: D1 Understanding and experience of statistics, databases and other IT applications/packages. Experience Essential: E1 Post
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synthesis methodologies Desirable • B1 - Knowledge of health economics and health technology assessment Skills Essential • C1 - Excellent skills in appropriate statistical software commonly
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of introductory social science statistics including Generalised Linear Models. A5 Knowledge of teaching methods and techniques for quantitative social science research methods. Desirable B1 Knowledge of advanced
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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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opportunities allow. As part of this project, the candidate will be working on: 1. Paediatric AML patient material in Multiparametric Flow assays 2. Clinical data and statistical methods 3
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manage our prospect and member’s database, utilising information from the Leisure Management System (LMS) for statistical reports, amount of prospects, where they are on the journey and conversion rates as
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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