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of RF signals in real-time on satellites and drones. The key responsibility of the position is to develop algorithms for measured signals (provided by hardware collaborators or from public datasets
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, classifying, and filtering RF signals in real-time on satellites and drones. The key responsibility of the position is to develop custom measurement platforms from discrete hardware components. The role
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, ubiquitous WiFi, and satellite channels can support robust perception and inference for distributed AI systems, and how delays, interference, and signal imperfections affect cognitive performance
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interplay between AI/ML learning/inference and communications; low-latency and time-constrained communication; satellite and non-terrestrial networking; experimental works on open-radio access network (O-RAN
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communication and sensing satellite and non-terrestrial networking; interplay between AI/ML learning/inference and communications; experimental works on open-radio access network (O-RAN). The group features a