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Project Overview We are inviting applications for a PhD position focused on the development of porous materials for key challenges in decarbonization and thermal energy storage (TES). This project
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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scenarios and test fundamental physics. This work will provide essential tools for extracting science from current observing runs and preparing for next-generation gravitational wave detectors. The PhD
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We provide a fully funded 4-year PhD studentship at the University of Birmingham. It covers tuition fees and stipend at UKRI rates (for 25/26 this will be £20,780, paid monthly) for home students
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engineering or physics (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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rigidity to penetrate without damaging tissue and stability against peristalsis. The device will also include onboard electronics for wireless data transfer to an external receiver. The device will be tested
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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, migration, invasion, and genetic instability. Although PBF’s primary function remains unclear, our recent data reveal a physiological role in cell adhesion and motility. Tyrosine phosphorylation is a key
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peristalsis throughout the intestine. The outcome will address a clear clinical need by providing sensitive, localized motility data to improve diagnosis of neuromechanical GI disorders. The sensor will rely