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, combining fluid and particulate mechanics with relevant physical and chemical phenomena such as temperature evolution, rheological change, and cure behaviour. These models will generate new insight into a
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, the project is well-positioned to generate science-informed legal insights. The two PhD researchers in the TEMPORALAW team will engage with legal temporality by examining legal mechanisms for engaging with
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, and responsibility as organizations increasingly rely on AI-generated logic and insights. Main Copy (advised structure) This project sits within strategic management and organization studies
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WWBIC. These relationships will support access to case studies and offer insight into practice, alongside opportunities for stakeholder engagement and a potential placement. Applicants from a range of
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. Despite significant progress, the fundamental mechanisms governing their formation remain only partially understood. Gaining deeper insight into these mechanisms is essential for improving control over comb
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dynamic mechanisms governing microstructure evolution through advanced modelling and experimental insights. It further seeks to establish a green, energy-efficient electromagnetic field-controlled
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STExplorer for HD analysis and will support insights into cardiac ageing. Research Aims: This computational biology project will apply our geospatial tools to new HD spatial datasets from human heart. You will
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integrate these insights with high-fidelity, physics-based modelling to identify critical failure precursors. The goal is to propose innovative mitigation strategies – from active gate drive to structural
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STExplorer for HD analysis and will support insights into cardiac ageing. Research aims: This computational biology project will apply our geospatial tools to new HD spatial datasets from human heart. You will
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insights. Information Statistical modelling of multiple omics datasets is a lively and rapidly developing research area. Ongoing technological advances make it possible to measure multiple biological data