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, statistical analysis (Excel, R, Prism etc). Experience Essential: E1 Sufficient breadth and/or depth of knowledge in the specialist subject discipline and of research/teaching methods and techniques to work in
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environment, across partner institutions. C7. Appropriate workload and time management skills. C8. Extensive IT and statistical data analysis/interpretation skills. C9. Problem solving skills including a
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debate Experience Essential E1 Experience of advanced statistical data analysis and modelling E2 A track record of presentation and publication of research results in quality journals/conferences E3
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primary tissue culture Cell biology Cell Sorting Genomic engineering (CRISPR, RNA interference) Mass spectrometry Molecular biology Molecular genetics Statistics Tissue culture Use of genetically engineered
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The School of Mathematics & Statistics combines world-leading research expertise in pure and applied mathematics and statistics in areas such as mathematical biology, fluid dynamics, geometry and
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Lochansediment core, spanning approximately 10,000 years before present (cal BP). By employing a multi-proxy approach, integrating geochemical and lipid analysis with statistical techniques, the study aims
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We take a highly interdisciplinary approach to the study of infectious disease that combines mathematical and statistical modelling with ecology, evolutionary biology, parasitology, immunology and
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Our Doctoral Training Programme focuses on training PhD students in key MRC skills priorities in quantitative skills (mathematics, statistics, computation, and developing digital excellence) as
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upon genetic results. Techniques used: you will be trained in a large variety of techniques including epidemiology, statistical genetics, in silico data mining, cell culture including CRISPR-based genome
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to recognise the shape, size, and materials of urban features, through the application of statistical, machine learning (ML) and artificial intelligence (AI) techniques. The use of freely accessible raw GNSS