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Field
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perception, science/climate communication, or public engagement research (4) Proficiency in quantitative analysis (R, Stata, or SPSS): factor analysis, ANOVA; SEM (R/lavaan or SPSS AMOS); LCA (R/poLCA, Mplus
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, with expertise in dynamic/data-driven modeling, optimization, Aspen, COMSOL, or CFD b. Techno-economic analysis (TEA) & life-cycle assessment (LCA) for chemical, energy, or biomanufacturing processes
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Carry out data analysis of spatial transcriptomics data (including integration of publicly available single-cell RNA sequencing datasets from coronary plaques) using computational analysis Analyse
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will be experimentally tested, with an analysis of the resulting fatigue life and crack trajectory. The tests will be monitored using a Digital Image Correlation (DIC) system, enabling the determination
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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, and cloud-based resources for large-scale data analysis and model development. Using these rich data resources, we develop and apply advanced AI/ML methods to model tumor evolution, identify clinically
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and research governance in health-related research Experience of participant recruitment and taking informed consent Experience of using qualitative, multi and mixed method data collection and analysis
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most widely used sustainability reporting standards (www.globalreporting.org). Your role would support this fellowship for 0.3 FTE of your time (i.e. 1.5 days per week) The role will include elements
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metabolism in ageing models. The use of AI and Deep Learning for data analysis and the establishment of in vitro ageing experimental systems and factor isolation using CRISPR Screening are also planned
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Signal transduction · Experience with standard biochemical, molecular and cellular biology techniques, including gene expression analysis, cloning, CRISPR-based approaches, protein biochemistry