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; wireless sensor networks; green communications; next generation wireless broadband networks; signal processing and acoustics; digital image processing; structural health monitoring and underwater
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, including cellular and Wi-Fi networks, in order to meet the requirements of emerging critical applications. In this context, intelligent embedded devices (augmented cameras, connected sensors) generate
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and high-performance computing resources. The position is part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
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intelligence and machine learning methods, including supervised learning, deep learning, and computer vision, to analyze agricultural and engineering datasets Design and implement wired and wireless networking
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resources. The position is part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration with Danish and international
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Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition assessment (DIAMOND), a stimulating, high-level European Doctoral
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particular connectivity within and between complex system? Would you like to apply efficient AI techniques for adaptive configuration and optimization of industrial communication networks to enhance
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
fully funded PhD position in the area of Adaptive Protocols for Decentralized Wireless Networks. The research associate will contribute to the newly established Secure Mobile Systems Group. The main focus
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education in digitalization and electrification including renewable energy sources, electric vehicles, industrial IoT, AI, 6G communication and wireless sensor networks as well as research and education
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of servers and assistance in network setup in a testbed building. Data collection from BMS and thermal and occupancy sensors, and machine learning based analysis. Daily system maintenance for the servers and