138 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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, or related fields, demonstrated by publications and/or fieldwork. Experience with qualitative research methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and
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-state batteries, green hydrogen and green ammonia production and storage methods. Through these activities, LIMSET plays a crucial role in shaping a cleaner, more sustainable energy future for Morocco
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-state batteries, green hydrogen and green ammonia production and storage methods. Through these activities, LIMSET plays a crucial role in shaping a cleaner, more sustainable energy future for Morocco
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distinctive research-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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synthesis will involve wet chemistry and other well-established solid-state methods. Required qualifications: The candidate must hold a PhD degree in Materials Science, Materials Chemistry, Inorganic
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separation and magnetic phenomena, as well as expertise in experimental methods to study the interactions between magnetic fields and solid and liquid materials. Additionally, knowledge of the physical and
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Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level
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sampling, analytical methods such as GC-MS, LC-MS, or other relevant instrumentation. Experience in olfactory system research is highly desirable. Background in experimental design, data analysis
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Responsibilities: Develop and improve emission inventories for Morocco. Perform source apportionment analysis using statistical and computational techniques (e.g., receptor models, chemical transport models