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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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properties in a few compositional series of network glasses, from which key compositions to study in the molten state will be selected. Improved understanding of melt structure will have a major impact on
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) culture. This five-year project is led by Professor Sujit Sivasundaram. The successful applicant will join a team of researchers, including postdoctoral fellows and an existing doctoral student
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) culture. This five-year project is led by Professor Sujit Sivasundaram. The successful applicant will join a team of researchers, including postdoctoral fellows and an existing doctoral student
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multiscale metamaterials with sub-200 nm resolution. The research spans fundamental optical physics through to applications, and the student will develop skills in electromagnetic simulation, nanofabrication
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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response timelines. Building on this foundation, the project will apply scenario modelling and simulation techniques to investigate emergency event propagation, routing strategies, vehicle-task assignment
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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