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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About AGBS: The AgroBioSciences (AgBS) program is a component of the Science & Technology pole of Mohammed VI
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of Technology (MIT). The PDF will be enrolled at SusMaT-RC under the supervision of Professor Youssef Habibi. Our research project’s main focus is to develop multifunctional bio-sourced hydrogels for agricultural
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Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About AgroBioSciences (AgBS): The AgroBioSciences (AgBS) program is a component of the Science & Technology pole
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Postdoctoral Researcher position within an interdisciplinary research program focusing on the integrated analysis of climate change, urbanization, resource systems, and territorial performance, with a particular
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to bolster its research environment in the metropolitan area of Marrakech. About AgroBioSciences (AgBS), College of Agriculture and Environmental Sciences: The AgroBioSciences (AgBS) program is a component of
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foundation program at Mohammed VI Polytechnic University in Benguerir, Morocco. The candidate will play a vital role in advancing research related to the development of new NP, PK and NPK fertilizer formulas
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
) invites applications for a Postdoctoral Researcher to join an interdisciplinary research program dedicated to the development of bioinspired, circular-economy-driven materials for water retention, soil
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Abstract: This research assistant focuses on the design, prototyping, and testing of bio-inspired drones, inspired by the aerodynamics and adaptability of natural flyers such as birds and bats. The candidate will contribute to the mechanical design, composite fabrication, and experimental...
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of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine