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Sciences currently runs two degree programmes, which lead successful graduates to University of Nottingham degrees in BSc Honours Mathematics with Applied Mathematics and BSc Honours Statistics. Some of our
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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 University of Glasgow is seeking a Statistical/Machine Learning Data Analyst within the College of MVLS Shared Research Facilities. The postholder will be responsible for performing analysis
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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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occurrence, aetiology, outcomes, and real-world impact. The student will be supported by a supervisory team including Professors in hepatology and epidemiology, and experts in computational statistics and
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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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discussion: The School of Mathematics & Statistics is the home of the Mathematical Sciences within the University of Glasgow. It is one of the six Schools which constitute the College of Science and
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statistician to support biomedical research at the IGMM. The post-holder will join the IGMM Bioinformatics Analysis Core and be mentored by group leaders with statistical biomedical research expertise. The post
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Full time: 35 hours per week Fixed term contract for 24 months We are looking for a Post-Doctoral Research Associate on Statistical Learning & Financial AI for assisting with the execution of the co
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: Have extensive experience with qualitative research including study design, data collection, and data analysis. Have high analytical experience to analyse and interpret statistical data whilst using