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embryo models. They will perform and develop cell resolution genomics assays (e.g. CAGE-seq and ATAC-seq) for analysing gene expression and gene regulatory element dynamics. They lead the Birmingham
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for multivariate analysis and machine learning, ensuring high-quality metadata, traceability and reproducibility. Building on this data foundation, the Fellow will develop hybrid modelling tools that integrate
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an internal secondment opportunity which would need to be agreed by your current line manager. Background To create and contribute to the design and analysis of behavioural, fMRI and MEG studies of
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using UV-Vis absorption and fluorescence spectrometers. Interest in interdisciplinary research and willingness to learn new techniques. Experience with data processing, analysis and interpretation
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interviews Work with research nurses in participating sites to recruit patients to the study Play a key role in coding and analysing research data, including secondary analysis of data Contribute to public
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the Life Cycle Assessment (LCA) and TechnoEconomic Analysis (TEA), with regular workshops being held to remind ReLiB researchers of the need for these assessments and to teach them new sustainability
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to assess the impact of tocilizumab upon human immune cell subsets Use multi-colour flow cytometry to phenotype immune cells in conjunction with phos-flow analysis to quantify the functional activity
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to developing new ones Ability to assess resource requirements and use resources effectively Experience of using statistical analysis software such as STATA and SPSS Understanding of and ability to contribute
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members, functional features, and genomic traits in Bif may influence these interactions, such as dietary component breakdown (e.g. human milk oligosaccharides, plant-based carbohydrates). A fundamental
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statistical methodologies and techniques appropriate to multi-sector data integration and violence-related risk factor analysis Supervise and examine PhD students, both within and out with the University