123 advance-soil-structure-modeling Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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researcher specializing in Sodium-ion (Na-ion) cathode materials to join our research team. This position focuses on the design, synthesis, characterization, and optimization of advanced cathode materials
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researcher specializing in Li-ion cathode materials to join our research team. This position focuses on the development, synthesis, characterization, and optimization of advanced cathode materials for next
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city models focused on health and environmental infrastructures. Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban
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Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing
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and other macro- and micronutrients Paper 1: Boron budget in tropical soil-tree planted systems. Modelling boron and potassium fluxes Paper 2: Boron and potassium dynamics in a planted tropical forestry
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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training to advance Morocco and Africa's innovation ecosystem. UM6P's unique partnership approach strengthens its position as an avant-garde in these areas, and the university aims to shine nationally
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industrial chemical operations. The selected candidate will join a multidisciplinary team and contribute to the scientific and technical advancement of sustainable construction materials. He/She will
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materials, including conducting structural characterizations and studying their physical properties. Exhibit knowledge or expertise in advanced characterization methods of inorganic materials and their
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict