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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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, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors
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biodiversity by leveraging cutting-edge genomic technologies and fostering collaboration between international and African scientists. The center plays a pivotal role in positioning Morocco and the continent as
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friendly coatings. Key Responsibilities Research and Development: Design, synthesize, and characterize green or ecological materials for agronomic applications. Material Optimization: Develop functional
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valorization of microalgae for biotechnological applications. Successful candidate is expected to have: Experience in isolation, culture techniques of microalgae and cyanobacteria strains, growth optimization
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area of Marrakech. About MSN department The Materials Science, Energy, and nano-engineering (MSN) is a department at Mohammed VI Polytechnic University that aims to makes use of innovative research and
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of phosphoric acid production, with an emphasis on developing novel techniques and optimizing the metallization of low-grade phosphoric acid. The successful candidate will engage in cutting-edge research aimed
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). Demonstrated ability in data analysis and material performance optimization. A solid track record of peer-reviewed publications. Preferred: Knowledge of agronomic applications, including controlled-release
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potential uses in therapeutic and catalytic domains. This role will involve the development of innovative synthetic methods for various phosphorus compounds and their evaluation in specific applications
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environment in the metropolitan area of Marrakech. Job Description: The CBS department at UM6P is seeking a highly motivated candidate with strong expertise and a keen interest in developing functional