87 computational-physics-"https:"-"https:"-"https:"-"https:"-"Itä-Suomen-yliopisto" positions in Morocco
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, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural graphite for Li-ion battery applications, developing sustainable
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2 Postdoctoral Researcher in separation/Catalysis and Process Engineering Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical
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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department
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of Artificial Intelligence (AI) in Chemical Process Systems Engineering (CPSE). The position addresses key challenges in process intensification, sustainability, and advanced process control, aiming to develop AI
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: Perform quantum mechanical calculations (DFT) for establishing reaction mechanisms and kinetics Develop and apply advanced computational models to predict the chemical and physical behaviours of materials
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) Country Morocco Application Deadline 12 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Description Postdoctoral Researcher in Mineral Processing, Battery Materials, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural
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research in process simulation and sustainability, demonstrated by publications in high-impact peer-reviewed journals Familiarity with high-performance computing (HPC) environments for process simulations
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been recently created to address enduring process challenges in Chemistry and engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage