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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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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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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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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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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
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closely connected with applied research and industry collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent