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Field
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mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling
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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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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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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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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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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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halide perovskites (including single-crystalline microcrystals). Apply advanced photophysical techniques such as steady-state/time-resolved photoluminescence, Raman spectroscopy, transient absorption
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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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artificial intelligence (GenAI) must not be used to generate any component of your application. In turn, your application will not be reviewed using GenAI. Appropriate GenAI use is welcome in the prosecution