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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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in mucociliary function. Regulation of post-translational modifications is complex and can involve a range of mechanisms e.g. fucosyltransferases catalyse the attachment of fucose to glycan chains and
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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, to inform and enhance drug optimisation. Employ machine learning to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Contribute to interdisciplinary