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Element Method (DEM), to analyse and predict pharmaceutical tablet disintegration. The goal is to construct robust, physics-based simulations that deepen the understanding of the underlying processes and
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partners. The post holder will be responsible for developing and implementing mechanistic models, primarily using the Discrete Element Method (DEM), to analyse and predict pharmaceutical tablet
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of participants, intervention fidelity monitoring, data collection (both quantitative and qualitative) and contribute to analysis, manuscript and report writing, presentations and dissemination generally. This is
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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for project co-ordination including site set-up, recruitment and retention of participants, intervention fidelity monitoring, data collection (both quantitative and qualitative) and contribute to analysis
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Universities and industry. At Surrey, we adopt an integrated approach that combines experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance
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participant recruitment, data collection, keeping meticulous records of participant retention, working with our PPI and governance representatives, data analysis, writing for publication and event planning
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recruitment, data collection, management and analysis, reporting, manuscript preparation, dissemination, and project administration. The post, suited to those interested in clinical and developmental psychology
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assessments. Responsibilities include project setup, participant recruitment, data collection, management and analysis, reporting, manuscript preparation, dissemination, and project administration. The post