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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven
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, Secure Programming (operating system security), Computer and Network Security, Cryptography, and IOT/CPS. To develop high-quality teaching material, with a strong focus on employability skills
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Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile
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University will focus on Internet of Things (IoT) device experimentation. The main goal is to create the largest remotely-accessible IoT testbed in the world, composed of dozens of samples of IoT devices
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of hand tools Desirable Experience with the use of microcontrollers (e.g. Arduino) and/or single-board computers and IoT devices (e.g. Raspberry Pi, Onion) and associated programming languages and software
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Job related to staff position within a Research Infrastructure? No Offer Description «Avanzando en IoT para gestión automatizada del agua con 5G. CPI-25-667.», in charge of the research line: «Sistemas
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 15 days ago
platforms, medication management tools, or telemedicine decision support, integrate AI with Internet of Things (IoT) and SMART engineering approaches. The research will be carried out within the ARTEMIS
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Offer Description Backend and frontend development for management, configuration and data collection in IoT monitoring devices (access to databases, web pages, etc.). Statistical data treatment. Where
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http://www.cds.hku.hk . The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT
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(Federated Learning). Analyze Mobile & Wearable Data: You will work with noisy, high-frequency time-series sensor data (e.g., accelerometers, gyroscopes, biosignals) from mobile IoT devices. You will address