110 combinatorial-optimization positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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trials, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic
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advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more of the following research areas: Development of efficient numerical linear
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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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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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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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, interdisciplinary research team. The position focuses on the development, optimization, and integration of advanced bioprocesses for the bioleaching and biorecovery of rare earth elements (REEs) from secondary
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formulation development and product optimization. Ability to design and evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis
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the estimation of some of the significant water balance components. The candidate is expected to seek an optimal integration between the physical representations of the various processes and the computing power