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funded PhD position in the ERC-funded project BESSEL at the IETR Laboratory of CNRS (Rennes, France). The project focuses on advancing wireless power transfer for deep-body bioelectronics using adaptive
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. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Turbulence modeling with wave propagation simulations Modulations used in optical wireless
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of Bergen and NORCE, Bergen. SFI Smart Ocean is advancing a wireless observation system for multi-parameter monitoring of underwater environments and installations. The system employs autonomous smart sensors
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under the supervision of faculty from the University of Bergen and NORCE, Bergen. SFI Smart Ocean is advancing a wireless observation system for multi-parameter monitoring of underwater environments and
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-surgery; data collection post-surgery using the latest DBS-systems capable of wireless electrophysiological recordings; coordinating with the neurosurgical and neurological staff at AUH; patient contact
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PhD studentship. The studentship will start on 1st October 2025. Project Description Project Overview: The integration of simultaneous wireless information and power transfer (SWIPT) is a critical
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provision of low-delay, and reliable wireless coverage to the ever-increasing number of underwater sensors. In fact, once marine data are generated by underwater sensors, it can be scheduled to access
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multi-band InP mm-wave front-ends including integration possibilities with CMOS': So far wireless communications have experienced explosive growth. In last 30 years, through five generations of wireless
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research Strong background in linear algebra, signal processing, detection an destimation, and optimization. Background in radar and wireless communications is desirable, but not mandatory Experience in
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capacity radio access technologies such as wireless back-hauling at sub-TeraHertz frequencies, Joint Communication And Sensing, Non Terrestrial Networks and Network as a Sensor. New classes of chipsets will