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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our values are Commitment, Collaboration and Transformation. Our research lines
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be removed once the position has been 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
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Are you fascinated by the influence of nature on our emotions and behaviour? Passionate about nature-inspired facade design and its influence on occupant comfort and wellbeing? Eager to embark on a
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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linked research in partnership with Rolls-Royce (RR) at the RR University Technology Centre (UTC) in Electrical Systems at University of Manchester(UoM). The UTC researches a wide range of underpinning
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challenges in modern computing systems. Optical interconnects are emerging as a promising solution, offering significantly higher data throughput and lower power consumption compared to conventional electrical
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with
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technology be designed and evaluated so that it is usable, acceptable and aligned with users’ communication preferences and everyday lives? Your role Your PhD will primarily focus on computer vision and