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) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics
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: Guide student teams working on complex, interconnected systems across domains such as urban development, social behavior, strategic governance, education, migration, or resilience. Introduce and apply
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teams in the design and implementation of cyber-physical systems (CPS) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses
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. Key Responsibilities: Guide student teams working on complex, interconnected systems across domains such as urban development, social behavior, strategic governance, education, migration, or resilience
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development, social behavior, strategic governance, education, migration, or resilience. Introduce and apply tools such as agent-based modeling (ABM), system dynamics, network analysis, game theory, and
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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