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with sparse aerial and dense terrestrial sensors for enhanced 3D spectrum use prediction. DC3: RF-sensing for ambient IoT devices and coexistence with legacy devices Host: IMDEA Networks Institute
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neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
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healthcare for FOG; identify technical requirements for the development of just FMs-based solutions for FOG. Develop a data collection method embedding wearable IMU sensors for monitoring FOG in everyday life
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Infrastructure? No Offer Description The PhD researcher will ● carry out fundamental research on active sensing “at scale” with the view of increasing the applicability of event-vision sensors to robotic control