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, the research group has investigated effects of trainings that help people recognize misleading data visualizations, thereby reducing their negative impact on information extraction (for example, see Rho et al
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networks changes under mechanical loading, enabling the development of bio-based sensing systems for structural health monitoring. Project background We seek a motivated Student Assistant (HiWi) to support
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2026, with a 100% workload, based in Zurich, and is fixed-term for three and a half years. Working across sociocultural, political-economic, and theoretical contexts, the LUS Doctoral Program fosters
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10%-30%, Zurich, fixed-term We are looking for motivated student research assistants to join our project “Adaptive Physics-Informed Neural Operators with Reduced-Order Modeling for Complex Dynamical
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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published work , or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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, or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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involves a collaboration with Associate Professor Jenni Raitoharju from the University of Jyväskylä, Finland. Keywords: ecohydraulics, Riverine Organism Drift Imager, artificial intelligence, imaging
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Each doctoral student will lead a coherent subproject within this broader research program: Position 1: AI for Computational Thinking Focuses on designing and studying AI-assisted programming
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface