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About the recruiter — UM6P Mohammed VI Polytechnic University (UM6P) is a research-and-innovation focused university in Morocco committed to African development. UM6P’s College of Computing (Benguerir & Rabat campuses) advances world-class research and education in Computer Science, fostering...
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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characterization of recombinant proteins. Under the supervision of the project leader, your responsibilities will include: Establishing and optimizing cell culture protocols under sterile conditions (adherent
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, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will reinforce the team of the CBS department. His/her experience and expertise should enable him/her
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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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. Area of Research: Sustainable mineral processing, with emphasis on phosphates beneficiation and process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste
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innovative research on the development of advanced materials for biomass conversion processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness