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The global transition to a low-carbon economy demands innovative approaches to managing CO₂ emissions. This PhD project addresses one of the most pressing challenges in sustainable chemistry: the
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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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deployment of an increasingly important emerging process technology. For more information, including how to apply, please contact Prof. Kit Windows-Yule at c.r.windows-yule@bham.ac.uk. Funding notes
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Reniers, who bring expertise in the areas of human computer interaction and psychology respectively. The PhD student will be co-supervised by DfT’s Behavioural Science team, work alongside DfT teams at key
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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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Cleanroom facility which is being upgraded to include state-of-the-art atomic layer deposition. The objective of this PhD project is to develop an interfacial layer between the silicon device and a wider
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for high-energy X-rays, thermal instability, or issues related to toxicity and cost. As imaging demands increase—particularly in fields like high-throughput synchrotron science, medical diagnostics, 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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A fully funded PhD studentship is available for outstanding candidates to undertake cutting-edge research leading to a PhD in Chemical and Biomedical Engineering. The successful candidate(s) will
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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