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plasmas and integrate with other research groups; create modeled plasma databases using integrated modeling frameworks (such as TRANSP, TORAX, FUSE, ASTRA, JINTRAC, etc); be part of the implementation and
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streams to products. An understanding of process scale-up and chemical plant design is of importance as well. The candidate should be familiar with databases and analytical models relevant to process
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19 Dec 2025 Job Information Organisation/Company Universitat de les Illes Balears Research Field Physics » Statistical physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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12 Dec 2025 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Database management Computer science » Programming Computer science » Systems design Engineering
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paste content, and study carbonation of recycled cementitious materials in stockpiles. You will develop thermodynamic predictive models trained on the comprehensive database that will be compiled
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materials complexation and conversion, and energy storage and conversion. This position offers an exciting opportunity to contribute to fundamental and applied research in materials chemistry using AI
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databases Collaborate closely with experimental teams to inform model development and interpret results Contribute to software development, documentation, and reproducible workflows Disseminate findings
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Partenkirchen, Germany). Your qualities You are a motivated team player, have experience in modelling using programming language(s), and have completed your PhD degree in Earth Sciences, Environmental Science
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning