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leading UK prepreg manufacturer, and offers a unique opportunity to work at the interface of advanced materials engineering, sustainable manufacturing, and industrial innovation. Poly‑furfuryl alcohol (PFA
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively
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are designed, moving beyond forward, trial-and-error approaches towards goal-driven, performance-led system design. The student will work at the intersection of systems engineering, modelling and simulation, and
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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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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows
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: • Experience of applying CFD to a complex problem • Appreciation of meshing requirements for aerodynamic simulations • Experience with machine learning or data-driven modelling techniques Funding
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology The growing field of soft robotics has unlocked new possibilities for robotic systems to navigate uncertain and
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In recent decades the interest in green hydrogen has increased rapidly driven by climate change concerns and net-zero carbon targets. Between 2025 to 2030 there is an opportunity for hydrogen
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity