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include cognitive and adaptive spectrum use as well as localization of targets or signal sources in passive-sensing settings. This is central to future 6G wireless communications applications, where radio
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a member of a team in a collaborative environment. Strong mathematical and analytical skills. Strong technical background in optimization in wireless communications/networking. Experience with
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wireless sensor technologies such as RFID sensors, inductive-capacitive resonance sensors, or magnetoelastic sensors • Experience in wireless communication protocols such as Bluetooth Low Energy • Experience
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processing, convex optimization, distributed processing, machine learning, and tensor analysis. Our applications span various domains, including audio and acoustics, wireless communication, radio astronomy
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Position Overview: Join the dynamic research community at the University of California, Berkeley, as a Postdoctoral Scholar in Neuroscience, working in the laboratory of Prof. Chunlei Liu
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cryptography Machine learning for secure and adaptive communication systems Semantic communication and intelligent information processing Secure wireless, optical, and space communication protocols Design
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Computing, and IEEE Transactions on Wireless Communication. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40
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Semantic communication and intelligent information processing Secure wireless, optical, and space communication protocols Design, analyze, and optimize new algorithms and system architectures for secure
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for IoT Wireless Sensor Networks Project Overview: We are looking for an outstanding Postdoctoral Researcher to join our ERC-funded project focused on solving one of the most pressing challenges in
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of artificial intelligence, cloud systems, and next-generation communication infrastructures. In this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud