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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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become available, it’s not clear whether these tests are sufficient, and what the most effective method to achieve cervical spine motion control is. The proposed project will simulate various rescue
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University in the Centre for Digital and Design Engineering, part of the Manufacturing, Materials and Design theme. The Centre provides access to advanced simulation, visualisation, and high-performance
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home
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an integrated zero-emission system and setting a new benchmark for sustainable innovation. This project will upcycle underutilised olive mill waste (OMW) into high-value products, including plant
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-scale, high-fidelity CFD simulations, providing detailed insights into transferred arc energy distribution, molten pool behaviour, and their relationship with process parameters. The key research
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In the process of laser shock peening (LSP), metallic structural components are hit by controlled laser pulses. The sudden vaporisation of material at the structural surface creates large magnitude
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DPhil Studentship in Physical Chemistry Topic: Electron Spin Resonance (ESR) spectroscopy applied to energy materials Supervisor: Dr Claudia Tait Start date: 1st October 2025 Applications
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submitted by the 20th July 2025. A list of the materials you will need is below: Two-page CV Names and contact details of two referees (one must be academic). In place of a Research Proposal on the Lancaster
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via electron backscatter diffraction (EBSD). We are seeking a motivated researcher with a passion for metallurgy and materials engineering, eager to tackle industrially-relevant problems. Ideally, you