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Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer…). Familiarity with scaling up biotechnological processes and designing pilot-scale plants. Ability to analyze
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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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indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various climatic, morphological, and social scenarios. Formulate
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efficiency, ion separation rates, energy consumption, etc. Model ion transport and system behavior under different operational conditions. Collaborate with researchers in diverse projects and contribute
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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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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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years postdoc fellowship (candidates from Moroccan or African universities). The successful applicant will conduct research in C and N Geochemistry aiming to quantify the soil C and N stocks, and
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environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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material-system interactions, particularly the performance of adsorbents, thermal interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and