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researcher to join our research team on nature-based solutions (NBS). The successful candidate will work on interdisciplinary projects aimed at promoting the integration of NBS in environmental management and
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development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa
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institution that seeks to foster the development of skilled manpower and natural resources in Morocco and Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities
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these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI
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, Machine learning, Wireless communication. Good communication skills in oral and written English Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based
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2 Postdoctoral Researcher in separation/Catalysis and Process Engineering Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical
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radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes
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, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI
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Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities and has accomplished researchers who work in partnership with research institutions and stakeholders
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage