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major European initiative developing scientific foundation models (SciFMs) for materials science. SciFMs are emerging as a powerful paradigm for scientific discovery. SIMU-LINGUA addresses key challenges
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closely related field. Demonstrated expertise in generative models for molecular or materials design, with at least one first-author publication using variational autoencoders, diffusion models, normalizing
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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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additives, electrochemical evaluation, and mechanistic studies to advance the fundamental understanding and industrial scalability of CO2-to-methane conversion. Where to apply Website https
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mission of unlocking the “geometry of artificial intelligence” then please apply! What you will do Singular Learning Theory (SLT) is a mathematical framework for analysing statistical models that do not
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that enable material traceability and circularity in plastics. The role focuses on developing and curating Deep-UV spectral databases, designing AI-based classification models, and further advancing
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appropriate field. You will work on the project “Data-Driven Micromagnetic Modelling”. Your job This study contributes to SPARK, an ERC Consolidator project that aims to unlock magnetic information stored in
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water remain poorly understood. These interactions shape local weather extremes and climate variability, but current models miss them. QUASI turns Lake Victoria—Earth’s largest tropical lake—into an open
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contribute to a major research project to improve our understanding of macroplastic pollution in coastal seas. Working at the intersection of numerical modelling and observations, you will develop simulations
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19 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile Recognised