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characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction
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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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electric motor manufacturing platforms at both locations. Project Description Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in
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Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in the UK require step-change performance of electrical motors from a state-of-the-art
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wide range of disruptions and response strategies Background The railway network in the United Kingdom is both complex and extensive. In 2024, it recorded approximately 1.7 billion passenger journeys
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towards the next-generation co-design platform, accelerating the development cycle for complex interdisciplinary systems. Motivation Aircraft design is a highly complex process that must balance performance
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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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cryogenic modelling, two-phase CFD, and AI-based reduced-order models to accelerate modelling capability in net‑zero aerospace technologies. Motivation Hydrogen research has accelerated to address the need
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. Together we will make technological advances that bring compact, reliable and economical energy management into our homes. Motivation The UK is charging full speed ahead towards its ambitious goal of net
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to plant biosciences where the impact could be huge and as a result exciting opportunities get missed. When we use light to image deep into complex samples there is a common problem that occurs – the light