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and embrittlement by precisely optimizing additive manufacturing parameters. By combining experimental investigations, advanced microstructural analyses, and numerical simulations, a novel manufacturing
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. Traditional analytical and numerical approaches struggle to capture the nonlinear interactions between the outer steel tube, sandwiched concrete, and inner steel tube, necessitating advanced computational
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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, and more efficient operations. After all, the greenest energy is the one that’s not spent – and this project aims to unlock just that by refining the way we design and optimize airfoils. The focus
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for marine environments, addressing the urgent need for durable, sustainable infrastructure.What will you do• Innovative Materials Development Design and optimize novel cementitious materials with reduced
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PhD Studentship - Analysis and Optimization of Wound Field Synchronous Machine e-NVH for Vehicle Traction Applications This exciting opportunity is based within the PEMC Research Group at Faculty
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optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
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electric and magnetic forces to create thrust. This PhD research will explore the impact of adding metal plasma to enhance the performance of air-breathing plasma thrusters, specifically aiming to optimize a