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at creating holistic Quantum-enhanced radar systems, complete with both advanced hardware and tailored signal processing that maximises its utility. The PhD goal will be achieved through fulfilment
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum of their parts. Distributed radar systems require a common sense of time, frequency and phase
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manipulated inputs, and in either case it may respond in ways that disrupt its operation. Research has shown that such weaknesses can be exploited in practice, for example through signal injection attacks
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therapeutic interventions. DA is a key neuromodulator, a chemical messenger that regulates and fine-tunes the activity of neurons, playing a vital role in numerous physiological processes such as reward
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elucidate novel interactions within critical signalling pathways and increase our understanding of signal transduction regulation of fundamental cellular processes. Funding notes: This is a PhD studentship
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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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retreat cannot be reversed even with rapid CO₂ drawdown. This PhD will identify early signals by the 2030–2050s, targeting specific Antarctic glacier systems that are vulnerable to early retreat (Needell et
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and AMR markers. By integrating plasmonic signal amplification using gold nanostars with a power-free electrokinetic focusing mechanism, the device will enable early-stage detection without the need
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interaction, signal processing, data science and machine learning. The successful candidate will gain expertise at the intersection of structural health monitoring, railway engineering, and advanced artificial