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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices
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modeling software (Datamine software, Leapfrog, Geovia, or equivalent). Experience with mine waste valorization and pilot process design is a strong asset. Proven publication record and project involvement
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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and be familiar with the work of Mokhtar Soussi. This work focuses on southern Morocco and Souss culture. It mentions links with sub-Saharan Africa. The post-doctoral candidate will need to identify all
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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ability to prioritize and manage multiple goals Positive attitude in changing fast-paced environments Active participation in improvement of self, processes and goals About UM6P: Mohammed VI Polytechnic
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separation, or membrane processes. Strong knowledge of ion transport mechanisms and membrane behavior. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting
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Job Title: ARC_AIR - Postdoctoral Researcher in Renewable Energy Systems, Water Harvesting Technologies, Condensation and Sorption Processes Number of positions: 2 About UM6P: Located in the heart
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biostimulants to enhance soil health and carbon sequestration. Job Responsibilities Conduct cutting-edge research on the conversion processes of various types of biomass (e.g., seaweeds) into valuable bio-based
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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department