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overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
experts in the field, contributing to a dynamic, research-led environment. This project is sponsored by Rolls-Royce, a global leader in aerospace and defence innovation. The sponsor brings deep domain
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) Physics, Chemistry, or Applied Mathematics Why This Matters The world is moving rapidly toward renewable energy. Hydrogen is at the forefront as a clean fuel, but its safe storage and use at high pressures
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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Technology. Mr Kumar is the module leader for Military Vehicle Dynamics, part of the Military Vehicle Technology MSc, which he teaches in the UK and overseas. He worked on project from the UK Ministry of
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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting
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Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. The CDT in Net Zero Aviation is the world’s first
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To improve the availability and reduce the overhaul and maintenance (O&M) costs of gas turbine propulsion systems, the gas turbine industry is moving from scheduled maintenance to condition-based