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transduction, proteomics, drug design, or related fields Good knowledge of cell biological and molecular biological methods Experience in bioinformatics tools related to proteomics and drug design. Aptitude
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low-impact methods) GTI’s mission is to train
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vision of OCP Nutricrops as defined in its Capstone Doctrine and for that it proposes 2 years-postdoc fellowships covering most aspects of the Critical Zone to study through different methods. It is
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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
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on the design and preparation of porous materials for gas/vapor adsorptive and membrane separations; Experience in developing and validating methods, operating and troubleshooting different gas/vapor adsorption
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, gender, etc.). Experience in interdisciplinary research is often valued. University teaching experience is appreciated. Proficiency in qualitative and/or quantitative methods (interviews, discourse
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experience is appreciated. Proficiency in qualitative and/or quantitative methods (interviews, discourse analysis, statistics, etc.). Strong skills in critical analysis and academic writing. Participation in
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Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving real
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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