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a particular focus on the integration of artificial intelligence with wireless sensing and communication. The research will study how radio signals and multimodal sensor observations can be jointly
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academic staff and over 70 PhD students, research associates and visitors, it is one of the largest groups in the UK specialising in mobile wireless networks, antennas and propagation, RF and microwave
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Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition
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experimental validation. The candidate will also collaborate with specialists in wireless sensor networks, embedded firmware development and industrial IoT deployment. Participation in internal technical
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, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems. The Department of Electrical
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to teaching, research, industry engagement and academic leadership in areas including communication engineering, network engineering, network security, telecommunications infrastructure, wireless and space
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the full benefit from the network training Further details on Marie Skłodowska-Curie Early Stage Researcher eligibility criteria can be found on the following link (https://ec.europa.eu/info/funding-enders
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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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) at UTEP (https://ece.utep.edu) offers B.S. and M.S. degrees in Electrical Engineering and Computer Engineering, and a Ph.D. in Electrical and Computer Engineering. The department has 25 faculty members
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collaboration with leading academic and industrial partners, access to state-of-the-art robot platforms, full-scale industrial sites, multi-sensor labs, and advanced network testbeds. The teams are highly