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from polymers of intrinsic microporosity (PIMs). By replacing conventional polymeric membranes and adopting dry-processed electrodes, this work has the potential to double energy density, reaching up
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), operando sensing, and ageing tests will be conducted at UoB. At BAM, detailed post-mortem characterisation—including SEM, XPS, ToF-SIMS, Auger, and calorimetry—will reconstruct SEI composition, porosity, and
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-based structural integrity model, validated using synchrotron X-ray microtomography and phase contrast imaging, to predict the lifetime of UK’s advanced gas-cooled reactors fuel cladding in storage
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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, with a median survival of less than 15 months despite standard-of-care interventions such as surgery, radiotherapy, and temozolomide (TMZ). Recurrence is nearly universal, driven by intrinsic tumour
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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—quality post-graduate research development and training environment of the University of Nottingham. This PhD scholarship is offered in collaboration with the UKRI funded transdisciplinary hub
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—quality post-graduate research development and training environment of the University of Nottingham. This PhD scholarship is offered in collaboration with the UKRI funded transdisciplinary hub
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that are naturally and sustainably sourced and with excellent post-use biodegradability profiles. The project goals will include (but necessarily limited to): Discovery of new biopolymers (focusing on polysaccharides