299 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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. Additionally, knowledge of gas-phase reaction product analysis using micro-GC and FTIR is essential. A solid understanding of general material synthesis is also mandatory. Candidate Profile: Hold a PhD in
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PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials research scene. The department coordinates several initial and executive Master
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, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
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databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling, collection, analysis, interpretation, and presentation. Supervise PhD and Master
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engineering, or related field. Requirement PhD in chemistry, chemical engineering, or related field from a recognized University. Strong experience in research in the field of organic and inorganic waste
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prior to their implementation. The candidates must hold a PhD in Metallurgy, electrochemistry, mechanical engineering or related domain. They must exhibit hands-on experience with electrochemical
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), established by UM6P, stands as a premier engineering physics school in Morocco. Over a three-year program, it trains physicists to emerge as future entrepreneurs, leaders, and professionals in the Kingdom and
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the program, ensuring their professional growth while collectively meeting program milestones on schedule. Contribute to scientific knowledge dissemination by publishing in peer-reviewed journals, and actively
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. Ensure timely delivery of project milestones and deliverables. Mentorship and training: Supervise and mentor PhD students and research assistants involved in the project. Provide training on experimental