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reputable scientific journals and present at relevant conferences to contribute to the academic and professional discourse in their respective field. Supervising PhD Students: Collaborate with and provide
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analysis (TEA). The successful candidate will: Develop innovative strategies for transforming industrial byproducts into high-performance porous adsorbent materials. Design and optimize structuring and
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composites, and sustainable materials. With over 70 researchers and PhD students, and strong national and international collaborations, MSN is a growing force in materials research. Job Description: We
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Moroccan and African challenges. Its work spans four key areas: energy transition, surface technology, polymers and composites, and sustainable materials. With over 70 researchers and PhD students, and
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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a highly motivated Postdoctoral Researcher in Process/Chemical Engineering to contribute to advanced research in experimentation, modeling, simulation, and optimization of chemical processes
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will focus on the formulation and synthesis of advanced synthetic polymers with optimized architectures and tailored functionalities for industrial applications, such as wastewater treatment, fertilizer
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formulations, including additives, collectors, defoamers, or related specialty chemicals, is considered an asset. Familiarity with green chemistry principles, sustainable synthesis, and process optimization is
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computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. The ideal candidate should have a strong background in artificial intelligence and
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials