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engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields
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the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate liberation with minimum
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should have experience in carbonate chemistry, and reactor design or process development. A keen interest in circular economy solutions, sustainable gaz neutralisation, and industrial by-product
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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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sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
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innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront
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innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
datasets. Developing explainable AI (XAI) models to facilitate clinical decision support systems (CDSS) and enhance trustworthiness in healthcare settings. Addressing longitudinal and time-series data