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Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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state-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. In its research approach
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digital twins for industrial chemical processes Process optimization and model-based decision support tools Development of computational tools for process monitoring and predictive analysis Candidate
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive Maintenance: Introduction UM6P Mohammed VI Polytechnic University is an
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networks, metabolic networks) to identify key disease drivers and biomarkers. Build predictive models for disease classification, patient stratification, and treatment response prediction. Collaborate with
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an intense of microbial activity contributes into the process of stabilization of organic matter; Assess the effects of organo-mineral management on soil biological parameters, including soil fauna; Predict
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, validated through field campaigns. Key Responsibilities Conduct atmospheric chemistry simulations Develop deep learning models for emission predictions Participate in field campaigns across Africa Publish in