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advise architectural studies for future fuel cell powered LH2 aircraft. While working on this exciting research project, you will be provided with: A fully funded 3 year full-time PhD - £20780 tax-free
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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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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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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development timescales and cost. This could yield efficiency improvements in areas like integrated fan-intake systems, very high bypass ratio engines, ultra-efficient boundary layer ingestion architectures