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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Area of Research: The incumbent will join the Applied Chemistry and Engineering Research Centre
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Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and
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expertise in adsorption and/or membrane-based separation technologies. The following qualifications and skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field
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Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and
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small-scale testing for seawater desalination applications. The candidate should have a PhD in Engineering (including Environmental, Civil or Chemical Engineering), Material Science or any other relevant
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of surface/interface engineering for cathode materials. Prior experience in co-supervision and mentoring of PhD/Master’s students. Competencies & Personal Qualities: Strong communication skills in English
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and education to address Moroccan and African challenges. Its work spans four key areas: energy transition, surface technology, polymers and composites, and sustainable materials. With over 70
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rigor in research studies. Support if required, the development of proposals for research funding. Candidate PROFILE: PhD in Organic Chemistry, Polymer Science, Materials Science, or related subject
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
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. Key duties The successful