198 optimization-nonlinear-functions Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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VI Polytechnic University (UM6P) is seeking applications for an 18-month postdoctoral position in the field of mineral thermal processing and pyrometallurgy. The position is part of strategic, industry
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Marrakech. Job Description: The CBS department at UM6P is seeking a highly motivated candidate with strong expertise and a keen interest in developing functional materials. This includes graphitic based
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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be expected to join an interdisciplinary team to work on projects focused on biomass valorization, green chemistry, metabolomics, formulation chemistry, and biological activities of desert natural
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research team. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes
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and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model complex systems and identify optimal solutions. Strong analytical skills to translate complex
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of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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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