58 combinatorial-optimization Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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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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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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for the design, analysis, and optimization of energy networks in urban environments. We are seeking a dynamic and motivated specialist to join our research team on urban energy networks management. The selected
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), overall health, and more. For instance, in electric vehicles, the BMS carries out functions such as monitoring, controlling, optimizing, and ensuring safety to mitigate potential hazards related to battery
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design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or
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. The successful candidate will conduct cutting-edge research on how microalgae and cyanobacteria can enhance soil fertility, optimize nutrient availability, and contribute to more sustainable agricultural practices
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products. Investigate and optimize technologies for biomass pretreatment, enzymatic hydrolysis, fermentation, and other biochemical or thermochemical processes. Investigate the potential of seaweed-derived
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. The selected candidate will contribute to an in-depth study of organic, colloidal, biological, and inorganic fouling mechanisms, the optimization of cleaning protocols (CIP – Cleaning in Place), and the
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, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints