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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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uncover cellular mechanisms of neurovascular dysfunction in Alzheimer’s disease and identify potential therapeutic targets. The successful candidate will be part of a collaborative team researching myelin
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). Related projects include: UK Hub for Quantum-Enabled Position, Navigation and Timing (QEPNT) –Glasgow led. EPSRC Programme Grant– Chip-Scale Atomic Systems for a Quantum Navigator. STFC-NSERC UK-Canada
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. The research will combine computational modelling, experimental validation, and machine learning techniques to develop a predictive phenomenological PAC model. The successful applicant will develop and apply
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the power of AI/ML and software-defined networking (SDN), and distributed learning methodologies, the research will focus on creating self-configuring, self-optimizing, and self-healing mechanisms for real
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health with the aim of creating healthier spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based
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their research within the School of Engineering’s state-of-the-art facilities. The School of Engineering is well equipped with modern manufacturing systems, analytical tools and computing equipment. It also has
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engineering related discipline. The project is suitable for Engineering or Physics graduates, with a strong background in Fluid Mechanics, Heat Transfer and preferably with experience in computational modelling
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minimum English language requirements . How to Apply: Apply online via the above ‘Apply’ button. Under programme name, select ‘Mechanical and Manufacturing Engineering’ and quote the advert reference
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degree (or equivalent) and/or a relevant postgraduate masters’ qualification (MSc) in materials science, engineering, mechanical Engineering, chemical Engineering, physics, or a related discipline. (E