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Institution: Mohammed VI Polytechnic University (UM6P) Department: Chemical and Biochemical Sciences - Green Process Engineering (CBS) Location: Benguerir/Jorf Lasfar, Morocco Duration: 12 months
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About UM6P: The Mohammed VI Polytechnic University (UM6P) invites applications for a postdoctoral fellow position in plant stress biology to contribute to a multidisciplinary project focused on
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus
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About ASARI The African Sustainable Agriculture Research Institute (ASARI) launched by UM6P in Laayoune in 2020 within the Foum Eloued technopole project focuses on several research and development
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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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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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Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests
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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