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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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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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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
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity