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amplifiers, filters, antennas, and transceivers. Experience with RF modeling tools (HFSS, ADS, CST, MATLAB, or similar). Proficiency in lab test and measurement with spectrum analyzers, VNAs, and signal
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group, Division of Communication Systems, Antennas and Optical Networks, Departmet of Electrical Engineering. We pride ourselves on fostering scientific excellence, innovation, and collaboration with
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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engineering research community (learn more at https://research.engineering.asu.edu/ ). We seek applicants who can enhance our abilities in these areas as part of a community of experts. Particular areas
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processing, alongside neuromorphic schemes targeting an order-of-magnitude power reduction in multi-antenna installations, a 10 dB BER improvement, and a 3 dB increase in processing-unit noise tolerance
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research labs or R&D environments Experience with RF design (e.g., antennas, impedance matching, RF front-end circuits) Specific Requirements Design and develop wireless sensor systems for SHM applications
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, funded by the European Commission. You can find more information on this project at NEWTON, https://newton-6g.eu/ . The Doctoral Network is led by IQUADRAT, the ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS
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Engineering At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical
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conditioning, amplification, reception and frequency conversion, to the development and integration of the antennas. The activities will include the design of low-cost, low-power architectures, as
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of the recruitment and description of the project Wireless systems and their component technologies (antennas, integrated circuits, photonics, optical wireless systems, etc.) [Work content and job description] The