217 amsterdam-computer-science Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Genomics and Bioinformatics. We
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Post-doctoral fellowship in the development of MOF catalysts for photocatalytic CO2 conversion and water splitting Mohammed VI Polytechnic University (UM6P) - Chemical & Biochemical Sciences CBS
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. Be engaged in technology transfer. Criteria of the candidate: Qualified applicants should have the following skills: Ph.D. in soil spectroscopy / Chemometrics/ analytical chemistry or related field
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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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milk) derived from different animal species (camels, goats, sheep, …) in the Southern part of Morocco. Assist in the teaching activities as a team member of animal science program at UM6P-ASARI
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agriculture challenges leveraging up-to-date science and technology. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to
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-oriented research environment in the metropolitan area of Marrakech. Job description: The Agricultural Innovation and Technology Transfer Center (AITTC), part of the College of Agricultural and Environmental
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, Process Engineering, Materials Chemistry, or a related discipline, with a specialization in pyrometallurgy or mineral thermal processing. Strong background in material characterization techniques (e.g., XRD
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. Assist in the preparation of new research proposals. Collaborate with the team members and international academic partners. Qualifications Ph.D. in communications engineering, computer science/engineering
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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