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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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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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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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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
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to identify the key factors controlling enzyme performance in complex mixtures. Molecular modelling will be used to interpret experimental trends and support the development of improved process
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and to understand their environmental implications. Project Motivation Hydrogen propulsion is an important enabler of green propulsion in the transition to net-zero. However, this introduces a new and
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of Engineering at the University of Nottingham, which conducts cutting-edge research into human–technology interaction, cognitive workload, decision-making, and the design and evaluation of complex socio-technical
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low-temperature scanning tunnelling microscopy (STM) and atomic force microscopy (AFM), the work will detect and map complex magnetic textures in emerging material classes, including two-dimensional magnets