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economy through resources sustainability and byproducts valorization. The Institute of Science, Technology & Innovation (IST&I) at Mohammed VI Polytechnic University (UM6P) invites applications for multiple
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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
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position is part of a collaborative research initiative between the Materials and Systems for Nanotechnologies (MSN) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Entity: Chair of Transitions, Institute of Advanced Studies About UM6P
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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UM6P College of Computing: The College of Computing, with a campus in Rabat and a campus in Benguerir, is a central component of the University Mohammed VI Polytechnic (UM6P). The main goal
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) Application Deadline 26 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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14 Mar 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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solutions for sustainable management of water at the farm-scale. Our goal is to create a scalable and cost-effective distributed water capture and storage solution that minimizes evaporation where we will use
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COLCOM: The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks