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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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This project will develop advanced computational and experimental tools to support the safe, efficient, and scalable manufacture of materials critical to UK and European security, with a particular
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platforms, with emphasis on systems-level performance, synchronisation, geometry, and image formation. This aim will be fulfilled through a balanced, systems-level study combining numerical modelling
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) ensuring that surveillance-driven decisions do not exacerbate health inequalities. Using mixed methods, the student will (a) map existing data flows and decision pathways used during recent incidents; (b
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will explore public, stakeholder, and decision-maker perspectives on lockdown strategies, exit processes, and communications. Using co-design workshop methods, the student will develop a prototype
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, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly interdisciplinary
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power. This involves the design of fundamentally new alloys by computational methods; production through arc melting, powder metallurgy or additive manufacturing; characterisation using advanced electron
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of lyophilisation methods and biomaterial-based encapsulation strategies to improve microbial survival and long-term storage stability. Training Environment The student will join a vibrant interdisciplinary research
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policy development. The project will directly support UKHSA and partner organisations in strengthening institutional memory and preparedness capability, while contributing generalisable methods
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resource constraints, workforce turnover and the needs of disadvantaged communities. Using mixed methods, the student will map interoperability arrangements across selected Local Resilience Forum (LRF) areas