28 systems-science-"https:"-"https:"-"https:"-"https:"-"HES-SO-Genève" PhD positions at University of Birmingham
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Major incidents place exceptional demands on health, emergency and public protection systems, requiring rapid, coordinated action across Category-1 responders, including the NHS, local authorities
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records that can systematically inform preparedness, training and future response. As a result, learning from past events is fragmented, inconsistently captured, and insufficiently embedded into emergency
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systems and tools to respond using an ‘all hazards’ approach. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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biotechnology. The studentship is delivered in collaboration with the UK Defence Science and Technology Laboratory (Dstl) and will include a research placement at Dstl, providing unique experience in applying
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frameworks where all degradation modes are quantified – this is currently not the case which this EngD will evaluate in close partnership with EPRI and Julich. The UK currently does not host any fusion
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Programme grant can be found at https://oncoeng.org/ Funding notes: The PhD project is funded through a University of Birmingham, School of Engineering PhD scholarship which provides maintenance
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PhD student with a 1st class or 2:1 degree in the field of psychology, health sciences or related field. An MSc degree in a relevant area is desirable though not necessary. Applicants should demonstrate
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the prevalence and impact of emerging-tech-enabled stalking in the UK? Which technology-enabled behaviours are associated with elevated risk of escalation, harm, or transitions to physical abuse? What
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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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