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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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compounds (e.g., polysaccharides, proteins, polyphenols) from seaweeds. Assess the potential applications of seaweed-based products in agriculture. Design and conduct experiments to assess the functional
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knowledge on experimental/research activities and approaches and improve conceptual development and implementation. Participate actively in the drafting of research project proposals and the pursuit
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of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor
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platform for experimentation and a pool of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With
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, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python
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at conferences, and stakeholder engagement sessions. Required Qualifications: A Ph.D. in Climate Science, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in
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partners to support collaborative research efforts. Mentorship: Co-supervise and mentor Master's and Ph.D. students, contributing to their academic and professional development. Qualifications and Experience
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. Knowledge of IoT communication protocols (MQTT, CoAP, LoRaWAN, Zigbee, BLE, Wi-Fi, LTE, etc.). Experience in integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT