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and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African
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innovative comminution strategies. The successful candidate will play a leading role in advancing research on autogenous grinding as a low-energy alternative for liberating indurated phosphates stored in
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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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stress biology to contribute to a multidisciplinary project focused on plant adaptation to temperature changes through stress priming and memory in the early growth phases. This project is part of a
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to the performance of a wide range of scale-up studies of a magnetic and electromagnetic separation process to validate the selection of the appropriate design for treating, concentrating, and purifying the matrices
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. All UM6P programs run as start-ups
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English and ability to work in a team. Outstanding analytical and problem-solving skills. Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based
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the fabrication and characterization of porous functional materials such as MOFs, MOF composites, and the fabrication of different nanoparticles. Insertion and encapsulation of nanoparticles within the porous
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. The goal is to explore innovative, renewable solutions that support environmentally responsible mineral processing, while maintaining high efficiency and selectivity in flotation performance