227 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at ETH Zurich
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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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Digital Twins for Human Learning. Project background In cognitive science, it is common practice to use cognitive models to understand human thought processes – including human learning. Large language
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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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institutions worldwide. Further information about Professorship for International Relations and Data Science can be found on our website. Questions regarding the position should be directed to Professor Dr
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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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, 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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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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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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Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series