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! We are seeking a highly motivated PhD candidate to work on pioneering research in smart sensing integrated circuits (ICs) for power conversion systems. This includes, but is not limited to, motor
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sensing in smart environments". The PhD position involves developing algorithms to detect and track objects using Doppler shift and Angle of Arrival (AoA) analysis of Channel State Information (CSI
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asynchrony, message delivery delays, and network or process faults. Ensuring the correctness and reliability of source code implementing blockchains and smart contracts is paramount, and this hinges
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automatically revert to a safe, albeit less efficient, operating mode in the smart grid that does not rely on real-time connectivity. Scientific challenges include: how to model the various critical
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PhD student, you will design novel algorithms for real time exchange/sharing of data, inspired by challenging data sharing problems in automated driving, smart cities and smart grids This PhD position
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Stability of Sustainable Electrical Power Systems research group. The group belongs to the Intelligent Electrical Power Grids (IEPG) Section of the Electrical Sustainable Energy (ESE) Department, which is
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Energy Department provides expertise in these areas throughout the entire energy system chain. The department owns a large ESP Laboratory assembling High Voltage testing, DC Grids testing environment, and
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for monitoring information flows and smart contracts. A trusted layer for monitoring and control is crucial for every network and digital infrastructure individually, but also across critical infrastructures, data
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. Contribute to the integration of mechanistic and machine learning models to simulate how plants respond to environmental changes and leverage these simulations to propose new experiments that generate "smart
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in power grids, to the spread of news, rumour or emotions in a social network, to transactions in banking networks and to the processing of functions and movements in the human brain. An epidemic