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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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: 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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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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algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from
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machine learning algorithms, ideally with a focus on time-series data, anomaly detection, or edge computing (TinyML). IoT: You have a strong understanding of IoT communication protocols, data resilience
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Postdoctoral Position in Participatory Design of Autonomous Drone Systems and Human-AI Collaboration The Human-Centered Computing Group at Aalborg University (AAU) is seeking a talented postdoctoral
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, Department of Computer Science, the Technical Faculty of IT & Design and the Center for Clinical Data Science (CLINDA) and Center for General Practice (CAM), Department of Clinical Medicine, the Faculty
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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systems, including integration of cyber-security. Enhance indoor climate by defining control strategies and developing control algorithms for demand-control ventilation, heating and cooling systems
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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD