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coefficient modeling. Experience in integrating modeling with leaching and separation processes for scale-up. Advanced data interpretation using electron diffraction, dendritic growth modeling, and REE behavior
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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using photoluminescence, Insertion and encapsulation of nanoparticles within the porous materials About UM6P: Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University
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About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields
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baseline data for the potential valorization of phosphate-related resources in the context of the global energy transition. Key research themes will include: Characterize the distribution, mineralogical
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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Mohammed VI Polytechnic University - Benguerir - Morocco Geology & Sustainable Mining Institute GSMI About the employer Mohammed VI Polytechnic University is an institution dedicated to research and
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Institution Overview: Mohammed VI Polytechnic University is dedicated to research and innovation in Africa and aims to be recognized among the world's leading universities in its fields
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience
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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction