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process and equipment optimisation Application of artificial intelligence, surrogate modelling, and optimisation methods to accelerate exploration of RAM design and operating space. By coupling simulation
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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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Atopic dermatitis is a common chronic inflammatory skin disorder, affecting 15-20% of children and up to 10% of adults. During disease flares, patients experience painful, inflamed skin lesions accompanied by intense itch. In atopic dermatitis, there is a dysbiosis of the microbiome on...
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The PhD project aims to develop dynamic pressurisation techniques for real-time crystallography and spectroscopy studies of samples in a liquid environment. It will be used for in-house macroscopic
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anchored protein adhesins that bind specific host ligands on the skin surface, enabling stable colonisation and persistence. This PhD project aims to define the molecular mechanisms underpinning S. aureus
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, Department for Transport, to start in October 2026. This PhD will aim to understand how driver behaviours change under acute situational stress—short-term, context-specific increases in cognitive load
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, many current UV-filter ingredients raise concerns around safety and ecological impact. This PhD project addresses this urgent need by developing bio-inspired sunscreens, drawing on nature’s own solutions
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Applications are invited for a fully funded four-year PhD studentship at the University of Birmingham exploring how engineered microbial ecosystems can be developed as next-generation microbiome
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sensor availability, remains an open research area, particularly when grounded in experimental hardware rather than purely theoretical models. The PhD aims to conduct underpinning research on the system
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on the RESPOND Theme within the NIHR Emergency Preparedness and Resilience HPRU, this PhD will develop and evaluate a near real-time surveillance and decision-support framework that integrates routinely collected