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degradation/wear. In the past years, a simulation tool to perform such analysis has been developed at the University of Manchester in collaboration with Cummins Engine Components (CEC). However, AFBs are
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explores quantitative techniques that identify fake news within the climate change domain. The techniques are based on statistical and computational approaches, including machine learning algorithms
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project titled “High-Fidelity Simulation and Data-Driven Modelling of UAV Noise” in the research group of Dr Zhong-Nan Wang at the University of Birmingham. The research of Dr Wang’s group is focused
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This PhD project focuses on computational mechanics. It seeks to advance the development of numerical methods for curing process simulation of fibre-reinforced composite materials, especially
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methodology to deliver simulations over a wider operating regime than currently possible. The realisation of this aim involves the advancement of the modelling of the air film and the foil, and their
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simulations Lead the development of a real-time capable software architecture for simulations, as well as processor and hardware-in-the-loop experiments Lead the design and development of an advanced test
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Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in