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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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are promising sustainable alternatives to lithium-ion systems, leveraging abundant, low-cost materials (Na, Fe, Al, biomass-derived carbon). However, a major bottleneck is the instability of the SEI formed during
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the potential to accelerate materials design and optimization. By leveraging large datasets and complex algorithms, ML models can uncover intricate relationships between composition, processing parameters, and
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contribute to safer skies by improving defect detection capabilities, particularly in composite materials increasingly used in modern aircraft. The outcomes could also influence broader applications in other
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to increase each year. The start date is 1st October 2025. Industrial filtration felts are constructed using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands
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, organic chemistry and biophysics Are desire to explore the biochemical composition and biological activity of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with
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isotope release, and apply advanced characterisation techniques to quantify both released and retained tritium. • Diagnose failure modes in LLZO electrolytes and tailor material composition and
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Department: Materials Title: Self assembled non-close packed quantum dot superlattices via high entropy approaches Application deadline: 17/06/2025 Research theme: Nano and Functional Materials How
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fit if you: Have a background in Biochemistry, biomedical sciences, organic chemistry and biophysics Are desire to explore the biochemical composition and biological activity of GAGs Are confident
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Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyze manually, increasing