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Field
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machines by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. You will work on the design and hardware realization of Spiking Neural Networks (SNNs
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to operate as a coherent network. This requirement can be theoretically fulfilled in a number of ways, including hardware approaches, e.g. the (wired or wireless) dissemination of the same clock signal
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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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, interests and background: Wireless communication and signal processing, wireless networking and protocols, mathematical modelling and analysis, algorithm design, estimation theory, machine learning, embedded
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in partnership with National Grid Electricity Transmission (NGET), funded under the Network Innovation Allowance (NIA). You will play an active role in the following activities: Organising and
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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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crucial for ensuring grid stability and economic operation in future high, medium transmission and low voltage power distribution networks. This integration introduces significant challenges in voltage and
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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interaction and signalling network analyses across clinically annotated cohorts. Together, these efforts will generate an unprecedented, high-resolution view of how cancer-specific protein interaction networks