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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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, with particular attention to care ethics, participatory processes, and social innovation as guiding perspectives. The successful candidate will contribute to interdisciplinary research activities
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