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calculations to model and optimize heterogeneous catalysts. Conduct simulations to evaluate catalytic performance and reaction mechanisms. Analyze and interpret computational data to understand the interactions
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. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms such as AnyLogic, Unity, MATLAB/Simulink, or AWS IoT TwinMaker. Experience in integrating real
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predictive model integrating the direct and indirect costs of urbanization. • Calibrate this model using real data from specific case studies. • Simulate urbanization costs based on various climatic
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disciplines to develop integrated solutions. Modeling and Simulation: Use simulation and modeling tools to analyze and optimize urban energy networks. Conduct case studies on specific cities to evaluate network
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, Chemical Engineering, Process engineering or a related field. Requirement Strong knowledge in process engineering Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer
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Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools
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economic factors to enhance urban resilience to water-related challenges. Key Responsibilities Develop models to simulate urban water flows, assess climate change impacts, and test innovative solutions
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Description du poste Postdoc / Postdoc description Département / Department: Unité / Unit:Center for African Studies Université / University:Mohammed VI Polytechnic University Durée/Duration: years
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like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. • Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. • Knowledge of complex systems
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network management systems (smart grids, microgrids). • Expertise in energy flow analysis and simulation, including production, storage, and consumption. • Experience in scenario modeling for various