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Field
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Research Infrastructure? No Offer Description Este contrato es parte del proyecto Machine learning optimization of heat pump architectures based on wireless power transfer sensors with high gain antennas
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13 Aug 2026 Job Information Organisation/Company Tokyo Metropolitan University Research Field Technology Information science Engineering Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 24 Sep 2026 - 23:59 (UTC) Country Japan Type of...
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Communications (ISAC) for future 6G wireless networks. The offered position contributes to the Horizon Europe QUEST-6G project that introduces a framework combining reconfigurable intelligent systems, XL antenna
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well as passive structures and components for the heterogenous integration of chiplets. Our goal is to research and develop new solutions in the field of subTHz wireless communication and radar-based sensing with
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Metrology for Quasi-Optical Wireless Probing of Monolithic Microwave Integrated Circuits NIST only participates in the February and August reviews. Ultrafast electronic devices with fundamental
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The Penn State Information Technology (PSU IT) Infrastructure Division is seeking a Wireless Technical Lead Network Engineer (Principal Professional) to provide senior-level technical leadership, direction
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part of change Contributing to the development of the next generation optical wireless communication systems Familiarization with physcial layer and technical basics of optical wireless communication and
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Wireless Research Centre Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Fixed term (2 years) position Salary range $70,000 – $85,000, p.a, based
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experience in wireless sensing, with a focus on target detection and tracking using wireless signals. Applicants are invited to contact Dr Bai Shiyu at telephone number 3400 2415 or via email at shiyu.bai
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Apply Now Job Summary Developing AI-based wireless communication systems: dataset generation, deep learning model development, and optimization for intelligent precoding in multi-user visible light