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expertise related to: Organic chemistry Polymer Science Hydrometallurgy Minerals engineering Environmental Science Job Description: Design of new polymer-based materials and functionalized resins This project
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SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented
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related to staff position within a Research Infrastructure? No Offer Description SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
the developed models to design and optimize the properties of materials. Conduct thorough experimental testing of developed materials. Collaborate with interdisciplinary teams, including organic and inorganic
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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
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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organic synthesis This project focuses on the design and synthesis of innovative organic and inorganic formulations, with the aim of developing specific additives for the demetallization of phosphoric acid
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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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to research activities in communication-aware robotics, with a particular focus on autonomous and networked robotic systems, including unmanned aerial vehicles (UAVs). The research will explore the joint design
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technologies. The candidate will work at the intersection of Artificial Intelligence, Scientific Machine Learning, and Energy Materials, contributing to the design of self-driving laboratories and no-code