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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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within the School The Person Knowledge, Skills and Experience (Essential) Expert experience in synthetic organic chemistry, synthetic methods, route design and characterisation Expertise in a wide range of
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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the security of e-governance systems. About the Project This PhD project will focus on the design of secure e-governance systems, ensuring their resilience against post-quantum attackers. You will
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Research Objectives (OBJs) include OBJ1- Modelling framework design, development, and validation of models for the eVTOL and its sub-systems for both control development and evaluation. OBJ2- Design and
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory design). Knowledge of sustainability issues impacting the medical devices industry
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representations are developed. In particular, the project will support designers to achieve driver and passenger experiences that surpass current best-in-class benchmarks. Beyond the automotive sector, the project