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Field
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circuit design, enhancing power efficiency, frequency performance, and functionality across RF, mm-wave, and wireless communication systems. The group bridges fundamental science with practical applications
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familiarity with fundamental concepts) in several of the following topics: Signal processing for wireless communication. Solid background in optimization and information theory. Good understanding
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realistic impairments in terms of hardware, propagation environment, and sensing imperfections. AirComp is a novel technique that harnesses the interference in wireless multiple access channels
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MIMO, through the deployment of numerous antennas at both the transmit (Tx) and receive (Rx) chains, has revolutionized wireless communications by significantly improving capacity and reliability, making
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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qualification (usually PhD). Tasks: The aim of the project is to design, model, fabricate and test a wireless micro-sensor which uses magnetic fields for sensing in biological soft tissues. For further
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aims to combine different research fields related to technology, economics, and social sciences. We announce an open PhD position within the framework of the doctoral programme "Future Wireless THz
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Proven capability to conduct relevant, top-level scientific research, Excellent understanding of IP networking across various wired and wireless technologies and scenarios from host-internal communications
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, multisignal patches and wireless devices. Design and development of algorithms for multimodal biomedical signals based on Personalized Models, Deep Learning and Explainable AI. Applications to respiratory
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in a number of the following topics: Turbulence modeling with wave propagation simulations Modulations used in optical wireless communications Data Analysis and Management Implement and open-source