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Polytechnic University (UM6P) is an institution dedicated to world-class education, applied research, and innovation for Morocco and Africa. With state-of-the-art infrastructure and a vast network of academic
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methods is a plus Programming experience in MATLAB and/or Python Familiarity with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain
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. The ideal candidate should have a strong background in artificial intelligence and machine learning, with demonstrated experience in developing and training neural networks for predictive modeling. Position
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with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain: Detailed CV, Cover letter along with a synthetic presentation of the
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materials. Experience with statistical analysis software (R, SPSS, or equivalent). Strong track record of peer-reviewed publications in relevant fields. Excellent problem-solving skills, creativity, and
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innovation at the service of education and development. This nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment
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execution of lab-scale grinding and classification trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze
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research network, and its recruitment process seeks high-quality academics and professionals to bolster its research environment in the metropolitan area of Marrakech. About CAES: The College of Agriculture
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. This nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process seeks high-quality academics and professionals
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk