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are essential to meet the demands of next-generation applications. This PhD project offers an exciting opportunity to pioneer separator-free battery architectures using ultrathin, high-performance coatings made
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disturbances. This programme of doctoral work will investigate the prevalence of iron deficiency/ iron deficiency anaemia in high performing athletes and assess the effectiveness of a novel oral iron supplement
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these, and then determine their imaging performance in bespoke optical systems in the visible light range. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Electrical
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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these, and then determine their imaging performance in bespoke optical systems in the visible light range. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Electrical
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required to have high performance, vacuum-based, insulation and integrate equipment capable of surviving this challenging environment. This adds weight and is one of the big challenges for aircraft
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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state-of-the-art high heat flux testing, simulating the extreme environments of fusion reactors. Harness advanced computational tools to model complex particle-material interactions and predict material