126 optimization-nonlinear-functions Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate and compare material intralogistics handling
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structures, integrating morphing wings and additive manufacturing processes for high-performance and energy-efficient drones. Keywords: Morphing wings, composites, additive manufacturing, aerodynamics, UAV
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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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Polytechnic University aspires to leave its mark nationally, continentally, and globally. We invite applications for a postdoctoral research position in the fields of linear algebra and high-performance
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crop production, the plants root plasticity, rhizosphere microbial activities and their interactions play a pivotal role in enhanced nutrient acquisition and crop productivity through a range of
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13219 Position Summary: We are seeking a motivated and skilled Postdoctoral Fellow to join our research team. The successful candidate will work on optimizing methods for nanofibers extraction from
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sustainable and optimized processes for vanadium extraction and purification, with the goal of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will
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impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and
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generated during processing. This work will involve mineralogical and chemical characterization, process testing at laboratory scale, and techno-economic evaluation of developed routes. The project
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. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized