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to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a
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within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected smart
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machine learning). Experience co-developing tools or interactive content for STEM education. Cross-Domain Application Areas May Include: Resource allocation in energy, health, and logistics Simulation
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dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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systems. Interest in hybrid modeling (e.g., combining physics-based models with machine learning). Experience co-developing tools or interactive content for STEM education. Cross-Domain Application Areas
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Scientist in Cyber-Physical Systems and Digital Twins to lead technology-driven projects within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts
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projects within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected
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-based models with machine learning). Experience co-developing tools or interactive content for STEM education. Cross-Domain Application Areas May Include: Resource allocation in energy, health, and
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-driven modeling, simulation and optimization with strong and permanent interactions with experiments. Integrate artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical