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Description The newly established NYUAD Wireless Research Center at New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate (PDA) to engage in cutting-edge research on channel
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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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Description The newly established NYUAD Wireless Research Center at New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate (PDA) who will conduct research on the physical layer
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decision-making in smart farming. The Postdoctoral scholar should have expertise in wireless communication technologies, IoT systems, and a keen interest in applying these technologies to improve
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Associate with background on AI and machine learning for wireless networking and communications. The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless
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of ANR project PRME SWAVE (A novel Security approach by using wireless power transfer and the generalized WAVEform concept). The job requires strong research competences in the field of communicating
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Description At the Institute of Telecommunications, Research Unit Wireless Communication, TU Wien is offering a 40-hours/week position as a Project Assistant (Post-Doc) financed from a research project (ESSENCE
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College of Chemistry and Molecular Engineering, Peking University | Exeter, England | United Kingdom | about 19 hours ago
development of wireless activation and communication systems enabling safe, efficient, and selective control of neurobots. Your work will focus on wireless energy transfer, external transmitter/receiver systems
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testing, and online convex optimization. This work is part of the ERC Advanced Grant project CONTRACT, which seeks to redefine the role of AI in wireless networks—from a potential reliability concern to a
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF