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resilient infrastructure? Would you like to integrate advanced AI techniques with heterogeneous UAV-based sensor data for the inspection and maintenance of critical transportation infrastructure, addressing
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applications. Existing research model multiple UAVs as a single shared entity in a centralized Digital Twin (DT), which poses safety risks to IAM operations if the cloud or central database becomes unavailable
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administrations, including eBus Competence Center, Emile Weber, GomSpace, Gradel, IEE, Nexxtlab, Telindus, and Ville de Luxembourg. For more information on the ATLAS IPBG Programme, see here: https://edu.lu/wwpy7
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here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
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of academia and industry Access to state-of-the-art laboratories, equipment and test facilities (UAVs, ground vehicles, and robot manipulator) Mentorship and collaboration with leading control and robotics
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., drought, salinity), and ecosystem productivity using AI-based approaches Integrating multi-modal datasets (remote sensing, UAV/drone imagery, field inventory data, soil and climate parameters, and genomic
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https