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. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the leading enabling technologies for smart systems
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infrastructure, mobility, and energy management. Integrate real-time data from sensors and IoT devices to develop dynamic models. Model complex interactions between physical systems (infrastructure) and digital
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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, sorting, recycling, recovery, and disposal processes and infrastructures. Specific Waste Streams: Knowledge of specific waste streams (organic, electronic, hazardous, etc.). IoT Technologies: Experience
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twins to monitor and optimize urban systems, including infrastructure, mobility, and energy management. • Integrate real-time data from sensors and IoT devices to develop dynamic models. • Model
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technologies and urban health. The successful candidate will develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute
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infrastructure. The candidate will design and implement solutions that integrate renewable energy, smart systems, and IoT technologies to tackle the energy challenges of modern cities. Key Responsibilities
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Internet-of-Things (IoT) are among the leading enabling technologies for smart systems (transportation, farming, health, etc.). Therefore, WSNs/IoT have received enormous attention where various
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sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches
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precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme