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. Candidate Profile: Hold a doctoral degree (PhD) in catalytic processes or an equivalent field. Have relevant experience in performing catalytic tests. Demonstrate expertise in gas-phase product analysis using
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Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e., supervision for the writing
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across disciplinary and methodological boundaries. Within this framework, the Chair hosts the “Kamara Portal: A Digital Philology of the Greater Western Sahel,” a research infrastructure project centered
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processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We
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innovative research on the development of advanced materials for biomass conversion processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness
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streams for reliable AI model training. Design of digital twins for process monitoring, fault diagnosis, and predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI
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: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is
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researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description Postdoctoral Researcher in Mineral Processing, Battery Materials
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Contribute on the group’s activities in processing of sustainable materials, (bio)polymer
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of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time