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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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metalloids in soil-plant systems. The ideal candidate will have a demonstrated track record in environmental soil chemistry, biogeochemistry, or related disciplines, with an emphasis on synchrotron-based
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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the expected research objectives. We seek highly motivated individuals that can propose solutions applicable in the industrial setting and develop innovative methods of testing the proposed solutions in-lab
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demonstrate documented expertise in bacteriology, molecular biology, bioinformatics, soil and rhizosphere microbial genomics. Proficiency in molecular biology laboratory techniques, a strong track record of
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as a team Solid publication track record in SCI-journals
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, with a proven track record of publications in peer-reviewed journals Experience teaching undergraduate or graduate courses in metallurgy, materials science, or related fields (teaching assistant
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research in powder metallurgy, with a proven track record of publications in peer-reviewed journals Experience teaching undergraduate or graduate courses in metallurgy, materials science, or related fields
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Green 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
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. The main objective of CBS is to set up a distinctive research-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular on green and environmental