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, this interdisciplinary project will focus on developing robust, practical tools to assess and predict recyclate quality. The work will involve thermal analysis (e.g. DSC, TGA), rheology, mechanical testing, and molecular
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middle-aged populations. To examine the bidirectional relationship between gut health and weight management. Funding Both home and international students can apply. Only home tuition fees will be covered
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methods for nuclear fusion, motivated by yield prediction in tritium fuel cycles. The lack of scalable tools necessitates large engineering tolerances, increasing reactor cost. Empirical tests are expensive
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effectively identify potential anomalies during testing. You will explore both self-supervised learning and generative modelling approaches, contributing to the cutting edge of medical AI. You will carry out
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will also examine predictors of therapy drop-out by analysing participant factors such as mood, demographics, confidence, and lack of early change. How to apply Please submit an online application
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of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
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(Dr Simon Kondrat at Loughborough University) and X-ray absorption spectroscopy at Diamond Light Source and the University of Leeds, you will make, test, and characterise alkali catalysts. Specially
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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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experimental mechanics, classical materials testing also benefits from a range of well-established methods. However, biomedical applications lack such a wealth of standardized protocols to address the diverse