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: Equivalence checking of quantum circuits. This task will include the identification of suitable metrics for approximate equivalence and algorithms to efficiently compute approximation distances. A potential
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intelligence, RF engineering, and spectrum sensing, with a core focus on AI-based spectrum monitoring for anomaly detection and identification. Your primary responsibilities include developing and evaluating
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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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building materials using polyphasic detection and identification approaches. Characterization of biobased building materials with respect to their moisture sorption isotherms. Modelling the correlation
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Solution project " ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to develop signal processing algorithms that enable autonomous detection, classification, and filtering
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Solution project "ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to explore AI-driven solutions for onboard spectrum monitoring, capable of autonomously detecting