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Field
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sector. Contrary to current kerosene aircraft, the hydrogen fuel can’t be simply stored within the existing primary structure of the wings but require dedicated tanks. The use of pumps could generate
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technologies. Metamaterials, engineered to exhibit properties not found in naturally occurring materials, offer an innovative pathway to overcome these limitations. By designing intricate periodic or quasi
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spectroscopic and structural properties of biomacromolecules. Likewise, it can also alter the activity and expression of proteins. However, there are many experimental challenges to be solved, including
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and therefore, the ability of a liquid fuel structure to resist deformation by the air stream. This is of particular relevance to gas turbine fuel injectors which are operated at high pressure and
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or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom
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their microstructure and local electronic properties with sub-molecular precision, the project aims to establish direct structure–function correlations and uncover the mechanisms that govern stability and charge
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Type of award Scholarship Managing department School of Engineering Value The School of Engineering are committed to building a diverse community of students and staff that fully reflects
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
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structural alloys. The project will combine advanced phase-field fracture mechanics, continuum-scale chemo-thermo-mechanical modeling, and advanced machine learning techniques for enhanced prediction accuracy