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requirements include: Strong background in wireless communication systems and networks Expertise in physical layer and MAC layer design for wireless systems Proven track record of publications in relevant IEEE
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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 Additional Information
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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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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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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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, 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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, including 5G networks (required). Expertise in wireless communication and 5G networks (required). Proficiency in software development and programming (required). Strong problem-solving and analytical skills
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contingent upon funding. Candidates with experience in the development of wireless power transfer and energy harvesting systems, quantum energy harvesting is preferred, skills in diode, electronics, antennas
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systems, intelligent and autonomous systems; machine learning; environmental sensing; and wireless communications. The EE department has strong support from the College of Engineering and UTA administration