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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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Your position New computational and analytical tools in population genetics allow to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify
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27 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Biomedical engineering Engineering » Chemical engineering Medical sciences » Other
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15 Jan 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher Profile First
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15 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Environmental science » Earth science Physics » Chemical physics Physics
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3 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Biochemistry Chemistry » Inorganic chemistry Chemistry » Other Environmental science
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13 Dec 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Biological sciences » Botany Biological sciences » Other Researcher Profile First