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for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational
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pathway. This project is in collaboration with Dr Richie Abel from Imperial College London, who is an expert in bone biology and will provide the high-resolution computed tomography (CT) scans of the bone
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will
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). Additional project costs will also be provided. Overview We are looking for a highly motivated candidate with a background in electronic engineering, physics or a related discipline. Strong practical skills
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural