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bespoke methods – including advanced data modelling approaches (e.g., machine learning, digital twin models) and AI techniques where appropriate – to provide novel solutions that enable sports to make
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Determining the Oxidation Creep Interaction in Uncoated and Coated Steels using a Novel Torque-Load Test Method This exciting opportunity is based within the EPSRC's Centre for Doctoral Training in
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and international fees. Overview Interested in bioinformatics, and high-resolution mapping of human heart? This PhD project will investigate how computational geography methods can be scaled to analyse
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the home fees and international fees. Overview Interested in bioinformatics, and high-resolution mapping of human heart? This PhD project will investigate how computational geography methods can be scaled
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the development of a novel torsion test method to measure how oxidation and creep may interact at high temperatures or long times, thereby aiding the safe design, operation and lifing of plant designed for long
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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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Rolls-Royce and EPSRC funded PhD - Experimental and numerical studies into the wear of articulating spline couplings for aeroengine applications Applications are invited for an EPSRC Industrial
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planetary systems. The project will investigate Probabilistic Numerical Computation for large scale Inverse Problems, with a particular focus on cases governed by Partial Differential Equations (PDEs). Recent
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couplings, this project will seek to further the fundamental understanding the wear behaviour of such components through both experimental and numerical studies. Experimental work will be carried out using a
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Predicting infiltrative glioblastoma progression using advanced magnetic resonance imaging methods Project Supervisors: Michael Chappell, Steffi Thust Project Overview Glioblastoma (GBM) is the most