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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based mechanistic models to simulate complex fluid and particulate
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-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based
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review and study set-up through to data collection, analysis and dissemination. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a supportive and
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closely with the Principal Investigator, the postholder will contribute to all stages of the research process, from literature review and study set-up through to data collection, analysis and dissemination
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of products using relevant techniques (e.g., chromatography, spectroscopy, and thermal and mechanical analysis) to quantify yield, composition, and quality. The role encompasses troubleshooting system
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molecule characteristion and have demonstrated the ability to design and complete multistep chemical routes. Experience in amino acid/peptide chemistry and/or preparing transition metal complexes would be
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for conducting a range of advanced quantitative analysis on secondary datasets incorporating genetic, neuroimaging and clinical data on child development. You will have responsibility for supporting integration
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to the financial modelling of zero-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total
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, conducting desktop and site-based service mapping exercise, qualitative data collection and analysis, and working closely with the PPI Leads in co-producing outputs and associated toolkits to aid