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, comminution modeling, and ore characterization, and will contribute to developing an integrated beneficiation strategy that reduces operational costs, and energy consumption. This research aligns with broader
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, ICP-MS/OES, QEMSCAN, XRD, SEM, alongside standardized environmental tests such as ABA, NAG, and TCLP to assess reprocessing and environmental remediation potential. Develop and interpret 3D block models
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. Applying Operations Research techniques to support the selection among predefined extraction methods. Developing and using Machine Learning models for quality prediction and control of phosphate ore
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and the African continent. Its vision is honed around research and innovation at the service of education and development. With its state-of-the-art campus and infrastructure, this unique nascent
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committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented
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development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and
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are seeking a highly motivated candidate to contribute to the development of new catalytic systems through computational simulations and theoretical studies. Main Responsibilities: Perform computational
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Job Description As an element of our scientific research activities at the CBS department, we are conducting innovative research on the development of advanced materials for biomass conversion
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research in fields related to the sustainable economic development of Morocco and Africa. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving
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focuses on the development, synthesis, characterization, and optimization of advanced cathode materials for next-generation Lithium-ion batteries. The successful candidate will contribute to fundamental