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dynamic models. Model complex interactions between physical systems (infrastructure) and digital systems (software, platforms). Develop decision-support tools based on simulations for public and private
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methodologies. Proven proficiency in thermodynamic modeling using FactSage, CALPHAD, and complementary simulation platforms like Aspen Plus. In-depth knowledge of electron microscopy, spectroscopy, and structural
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools to assess the impact of urban interventions on health. Smart City Experience: Experience in developing smart
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: Pr. Johan Jacquemin – johan.jacquemin@um6p.ma Research Activities Develop independent research programs in Molecular Dynamics (MD) Simulation of Materials with a focus on computational modeling and
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and
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emissions modeling. Simulation & Optimization Framework Build and validate a dynamic simulation model of mine haulage operations. Integrate multi-objective optimization to explore trade-offs across cost
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and uncertainty analyses to quantify trade-offs under varying operating conditions. Simulation Build a dynamic simulation of mine haulage energy flows and storage. Validate models in collaboration with
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synchrotron-based facilities. Collaborate with experimental teams to validate simulations and develop predictive models for novel materials Publish research findings in high-impact peer-reviewed journals and
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(LCC) analyses. These programs should align with the Process Optimization and Sustainability Cluster roadmap, focusing on: Process modeling, simulation, and optimization for chemical, energy, and