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Funding providers: EPSRC iCASE and Airbus Operations Limited Subject areas: Experimental Mechanics, Digital Image Correlation (DIC), Mechanical Engineering, Aerospace Engineering, Materials
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Moulding of large aerostructures Applications are invited to undertake a PhD programme, in partnership with Airbus, to address the key challenge in meeting zero waste in the manufacture of fibre-reinforced
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Applications are invited for one funded 3.5-year PhD studentship for the project titled “High-fidelity CFD and data-driven modelling of aerodynamic noise sources” in the research group of Dr Zhong
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PhD Studentship in Geospatial Engineering: Smart Earth Observation Satellite Constellation Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £18,622 (2023/24
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Airbus Operations Ltd through an EPSRC Industrial CASE Award. The project has the potential of significantly improving the fatigue design and maintenance of an aircraft. Fatigue design and fatigue damage
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This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its