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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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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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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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, 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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. 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
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data into actionable insights for research and decision-making. Experience working in multidisciplinary teams. Track record of high-level scientific publications and presentations at international
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experts. Track record of publishing in high-impact journals and presenting research at international conferences. Commitment to research excellence. Interest in addressing African development challenges
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
classifiers). Proficiency in programming languages such as Python, R, and experience with bioinformatics pipelines. A proven track record of scientific publications in metabolomics, AI, or computational biology
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of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems