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research group funded by the University of Connecticut and the NIH Institute of Deafness and Communication Disorders that aims to uncover fundamental principles of computation in neural circuits. We
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to the EPSRC programme grant "Terahertz frequency devices and systems for ultrahigh capacity wireless communications (TERACOM)" (teracom.uk), EP/W028921/1. This is a collaborative project involving the
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the NIH Institute of Deafness and Communication Disorders that aims to uncover fundamental principles of computation in neural circuits. We are building a team with diverse scientific backgrounds
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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Networks, and ICT Services & Applications. The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite communications
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Mechanical Engineering. Preferred Qualifications Expertise in developing wireless communication modulus for piezoelectric sensors including SAW and BAW sensors. Demonstrated strong experience in
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. Strong technical background in optimization in wireless communications/networking. Experience with programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in
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, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication
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and the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. The position involves conducting experimental research in the broad scope of wireless communications
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on the physical layer design of programmable metasurfaces enabled wireless communication systems. The candidate will investigate the role of programmable metasurfaces as reconfigurable holographic surfaces (RHSs