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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
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, performance, stability, and cost-effectiveness. Perform chemical modifications to enhance the properties of the formulations. Proactively engage in collaborative R&D by providing solutions and demonstrating
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order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research
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position within a Research Infrastructure? No Offer Description Location: Mohammed VI Polytechnic University (UM6P) Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field
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challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research
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, particularly their role in soil nutrient cycling, nitrogen fixation, and carbon sequestration. Investigate the mechanisms through which these microorganisms interact with soil environments and plants
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pretreatment, enzymatic hydrolysis, fermentation, and other biochemical or thermochemical processes. Investigate the potential of seaweed-derived compounds for use in agriculture, including their role as
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/ Responsibilities and tasks planned: The work will focus on: Bibliographic review, Report and scientific publications. organizing workshop courses Compétences requises et exigence du poste / Skills required
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generated during processing. This work will involve mineralogical and chemical characterization, process testing at laboratory scale, and techno-economic evaluation of developed routes. The project
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: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration