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Field
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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 communications
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using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience
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are looking for a Senior Research Fellow to support the research for the project titled “Inductive Wireless Power Transfer Roadway for Electric Vehicle Charging”. The role will focus on carrying out research
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communications, multimodal UWB RF signal data analysis, and wireless sensing network architecture design and optimisation. It is envisaged that the candidates will be located at University College Cork’s campus. A
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, wireless data transmission, hardware integration, and on-device AI deployment. You will have A PhD (or near completion, or equivalent industrial research experience) in Electronic Engineering, Embedded
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PhD students trained in several European countries (https://cordis.europa.eu/project/id/101227338 ). You will be appointed for three years, during which time you will study for a fee free PhD. Are you
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candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UWB RF signal data analysis, and wireless sensing
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of resilient communications for future 6G networks. The research of this PhD position will be conducted in the IDLab-UAntwerp research group, which is embedded in imec and the University of Antwerp in Belgium
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Are you our next PhD candidate eager to build fast and multi-scale electromagnetic techniques for analyzing state-of-the-art RF applications and systems? Are you interested in making RF system
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of Wireless Localization and Sensing in Integrated Satellite and Terrestrial Networks. The offered position