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solutions. The project looks at new methods to increase tele-presence and situational awareness in tele-exploration and tele-intervention for: Immersive observations of operational scenarios and network
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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impact of the Isles of Scilly Community Research Network (CRN) , designed to support research that is locally led, co-designed, innovative and community-driven. This fully-funded PhD studentship offers a
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foundation for selecting and integrating FMs across complex software systems. The research will develop a theory that treats software as a network of interconnected components, each with varying criticality
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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. The college fosters a collaborative and interdisciplinary environment, addressing the complex challenges in engineering, computer science and built environment. CTE strongly emphasises research, with doctoral
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systems to act as an oversight of the AI. This is costly, complex, and time consuming, nullifying the benefits of using an AI approach. This project’s two aims are (1) Establish the best approach
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and impact related to two EPSRC funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
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are deeply committed to advancing characterisation methods and workflows that address pressing challenges in areas such as correlative characterisation, biological systems, net-zero and the circular economy