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association with the ITER project; • Astrochemistry and exobiology, to simulate various environments and to prepare for future space missions and observations; • Surface sciences and innovative materials
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PhD project on non-financial conflicts of interests in research Department of Food and Resource Economics Faculty of Science University of Copenhagen The Department of Food and Resource Economics
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processes and fast phase transitions in materials. Extended research stays at ETH Zurich will provide access to complementary expertise and metallic sample preparation, as well as additional advanced
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scienceYears of Research ExperienceNone Research FieldEnvironmental science » Global changeYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres
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of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University
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research in multidisciplinary fields. The IPREM polymer platform (PolyCats) offers a pool of cutting-edge instruments for polymer materials characterization. The position will be located at IPREM/Pau, with
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Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT | Poland | about 1 month ago
13 Aug 2026 Job Information Organisation/Company Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT Department Centre for Advanced Materials and Technologies
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theory, physics-based simulation, and machine learning. Job description The PhD project will develop machine-learning methods for atomistic materials modeling Possible research directions include machine
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-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, are jointly hiring a Doctoral Researcher. In this position, you
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temporal variability of energy supply and demand, and by the high degree of interdependence of material and energy flows. Our research aims to provide scalable, faster-than-real-time capable methods and