85 postdoc-molecular-dynamics-simulation Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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operations and chemical processes. Ability to conduct experiments. Experience in using both steady-state and dynamic modeling, simulation and optimization tools, e.g. Aspen, Pro/II, GAMS, gProms... Ambitious
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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material intralogistics handling alternatives such as trolley-assist systems, battery-electric trucks, and in-pit crushing & conveying (IPCC), combining life-cycle analysis, and dynamic simulation
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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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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yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
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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
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of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables related to infrastructure, health, and the environment, and simulate scenarios
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of Environmental Microbial Biotechnology with a strong background in metal stress alleviation and omics technologies. The project focuses on exploring microbial communities and their molecular mechanisms
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1400 large container (mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a