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Field
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conditions can be complex and requires adaptation strategies. To overcome these limitations, the RESIL-AV project aims to improve detection accuracy by leveraging a network of heterogeneous sensors. This will
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and energy-efficient manufacturing in the Greater Region. Modern industrial production systems rely on networks of sensors to monitor processes, energy consumption, material flows, and environmental
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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Researcher in Intelligent Networked Systems What you will do Coordinate and technically steer the research activities related to next-generation network architectures, intelligent orchestration, and resilient
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Networks rates. *Researchers will receive a mobility allowance and if applicable a family allowance. In this role, the successful candidate will carry out research relevant to the research project HiPOVor
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Networks rates. *Researchers will receive a mobility allowance and if applicable a family allowance. In this role, the successful candidate will carry out research relevant to the research project HiPOVor
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
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to apply these modelling techniques to support the development of novel experimental technologies and AI-assisted optical sensors. Supported by the Structured Photonics Research Group at the University