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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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such as SHACL (Shapes Constraint Language), the NCT3TA reference model, and standards like HISO 100xx and ISO/IEC 11179-xx. Prior experience with these tools is not required—training will be provided
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This is an exciting opportunity to explore the role of complex microbial communities in promoting resilience and maximising yields in large scale algal bioreactors exposed to different environmental
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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
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Technologies for e-governance and civic engagement play a crucial role in supporting and transforming public services and community interactions, with the potential to foster greater citizen
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communications technology that underpins the internet and the digital economy. Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in a relevant subject with
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Training, so will join a community of researchers and have substantial training and development opportunities. The researcher will also spend significant periods of time based at the Sustainable Plastic
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optimise a ‘Digital Twin’ of the Tees estuary to ensure that the NBS are deployed at locations optimal for performance and longevity while operating within the constraints placed upon deployment by other
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique used to measure motion and deformation. It provides comprehensive full-field deformation data, essential