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, electric vehicles, industrial IoT, 6G communication, and wireless sensor networks, as well as research and education in Life Science, health technology, smart electronic sensors, and medical systems
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
pattern and trend analysis, data visualization/communication techniques, data uncertainty and error propagation, or integration of GeoAI with mobile data collection/IoT real-time data. Minimum Education and
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Programme? Not funded by a EU programme Reference Number AE2025-0598 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese Version: https://www.inesctec.pt
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programme Reference Number AE2025-0563 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0563
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destinations, from low Earth orbit to Mars. Its activities focus on four pillars: Artificial Intelligence, Extended Reality, IoT & Robotics, and Quantum Technologies, supported by robust data governance. Key
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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(GIS), mobility management, the Internet of Things (IoT), and industrial sensorization. Tasks will include: • Support in defining reusable models and components that enable the generation of customized
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associated with the emerging wave of Internet-connected things that are based on the physical environment. https://coe.northeastern.edu/academics-experiential-learning/academic-departments/mgen
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, interoperability, and scalability; 2) Integrate connected vehicles and urban sensors, with support for V2X communication, IoT, and location services; 3) Develop artificial intelligence mechanisms (e.g
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university in one or more of the following primary areas: the Internet of Things (IoT), particularly in the design and integration of low-power sensor networks, robotics, and autonomous systems. Teaching