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The project: Electromagnetic (EM) sensing is on the brink of a step-change. Once limited by computation and data-processing power, EM sensing is now being transformed by advances in high-performance
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Transform the Future with AI - Apply for the RAIR Centre Scholarship An extraordinary opportunity awaits at the cutting edge of artificial intelligence research. The Responsible AI Centre
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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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multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact. The generation of particles is rooted in the complex fracture events spanning
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doctoral candidates. The programme focuses on advanced materials, innovative methodologies, and transformative solutions that address today’s most pressing challenges in the fields of energy transition and
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of this project is on a holistic investigation of energy efficiency in next-generation mobile networking systems. In the past decade, on the road to 5G, there has been a transformation in the mobile networking
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areas, could include deep learning (e.g. Long Short Term Memory - LSTM), statistical baselines (e.g. Autoregressive Integrated Moving Average - ARIMA, Kalman filters) and transformers (e.g., spatio
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
is to exploit transformer-based attention mechanisms to model sequential dependencies and capture long-range interactions, making them promising tools for complex spectrum management. Despite being
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into practical approaches for ECCO’s societal partners. Your aim is to identify different pathways for mobilisation and understand their implications for transformative action. Working with networks such as LSA
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biosensor, transforming an existing prototype technology into a deployable environmental monitoring solution. Building on recent innovation at Exeter, this PhD will translate a novel discrete gape-sensor unit