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. Fusion power plants demand structural materials capable of operating at >650 °C with high radiation tolerance. Traditional computational materials design workflows excel in data‑rich systems (e.g. Ni & Fe
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health data streams to support operational response during major incidents. The central hypothesis is that timely integration of syndromic surveillance, emergency care activity and contextual data can
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Health emergencies, mass casualty events and disasters generate large volumes of operational, clinical and organisational data. However, these data are rarely synthesised into structured, analysable
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resilient. The PhD student will undertake a full research programme: interviewing participants, leading focus groups, designing studies, analysing data, developing models, designing technological, educational
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Effective response to major incidents depends not only on clinical capability but also on communication and coordination across complex, multi-agency systems. Failures in information flow, shared
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strategies and communications can be optimised for future public health emergencies, using a combination of primary and secondary data relating to effectiveness, impact, public perceptions and behaviour. It
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facilities An intellectually vibrant, international, and interdisciplinary research environment Dedicated professional development training in research communication, scientific writing, data analysis, and
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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. This will provide uniquely high-resolution ground-truth data on particle and flow behaviour within RAM systems, supporting validation of CFD and multiphysics simulations and, where appropriate, training of AI
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interoperability is not solely a technical or procedural challenge, but a socio-technical system property shaped by governance, training, information flows, organisational culture and equity considerations