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This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero Centre (RAINZ) which is a partnership between three of the UKs leading
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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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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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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complex networks by merging physical and cyber levels. This is a unique opportunity to explore the synergies between the physical and cyber domains in the realm of space engineering and investigate how can
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 16 days 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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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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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