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. Investigate the interactions between soil microbes and their environment using field and laboratory experiments. Analyze data on soil microbiomes, nutrient cycling, and soil biological processes. Develop models
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of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high
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. P., Guillemot, J., Mareschal, L., Nouvellon, Y., & Delpierre, N. (2021). Potassium limitation of wood productivity: A review of elementary processes and ways forward to modelling illustrated by
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optimizing treatment processes that use calcium carbonate-rich materials extracted from phosphate mine waste. These materials will be assessed for their capacity to neutralize acid gases (SOx, HF) emitted from
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project as a driving force of a business model. About the ASARI (UM6P Laâyoune): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P
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, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About ASARI (Hiring entity): The African Sustainable Agriculture Research Institute
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in real time. The candidate will contribute to modeling interactions between physical and digital infrastructures to enhance energy management, transportation networks, and urban sustainability. Key
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High
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processes, and Storage solutions. Successful candidates will have the opportunity to engage in cutting-edge research aimed at developing innovative strategies for reducing carbon emissions and promoting
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities