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boundaries. As vehicle architectures evolve to integrate new transmissions, fuels, and energy storage solutions, this creates a timely opportunity to rethink the role of the electric motor within
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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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-speed, radial-flux permanent magnet motors, are reaching their performance boundaries. As vehicle architectures evolve to integrate new transmissions, fuels, and energy storage solutions, this creates a
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parameters, underlying material geometry and process environment). • Integrating process-dependent transferred arc energy distributions into an improved heat source model for FEA simulations. • Creating an FEA
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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in organic/polymer synthesis and/or material analysis will also be beneficial. EU
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the integrity of infrastructure such as pipelines and process plants. Traditional inspection and monitoring methods often face limitations when dealing with complex pipework and constrained geometries
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like bioenergy with carbon capture and storage (BECCS), direct air capture (DACCS), and nature-based solutions — can be responsibly integrated into pathways to Net Zero. It will use an interdisciplinary
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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in organic/polymer synthesis and/or material analysis will also be beneficial. EU
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from the UK Health Security Agency and real-world outbreaks. This interdisciplinary project integrates microbiology, molecular biology, bioinformatics, and public health, offering hands-on training and
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replacement, statistics and working with joint registry data. You will be based in the Integrative Musculoskeletal Biomechanics (IMSB) research group and join a thriving PhD research community in the School