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100%, Zurich, fixed-term With our cutting-edge research, ETH Zürich's around 12’000 employees make essential contributions to the well-being of society for a future worth living. In the Automatic Control Laboratory (IfA) is a community of approximately 50 researchers working on the development...
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100%, Zurich, fixed-term The Quantum Material Dynamics group (Prof. Elsa Abreu) in the Department of Physics of ETH Zürich has an open PhD position in dynamics of quantum materials under pressure
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab is looking for a PhD student in physiological sensing. This job ad is intentionally short and only complete applications will be
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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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100%, Zurich, fixed-term The research of the Human-centered Sensing Laboratory centers around physics, chemistry and medicine to gain new fundamental understanding in micro/nanosystems for receptors and transducers to advance their fabrication and application in chemical sensing. The...
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and communication strategies. This ambitious project invites passionate PhD candidates to contribute to pioneering studies that merge theoretical insights with practical applications, marking a
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to teaching within the group. This project contains aspects of cell biology, mechanobiology, biophysics, molecular biosciences, and cell substrate engineering. Throughout the PhD, you will gain expertise in
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100%, Zurich, fixed-term The Rehabilitation Engineering Lab (RELab) at the Department of Health Sciences and Technology at ETH Zurich is an interdisciplinary group with competencies in mechanical and electrical engineering, movement science, neurorehabilitation and neuroscience. The RELab uses...
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE, ETH Zürich) is looking for a candidate to fill a PhD position to develop catalysts for the conversion ofCO2
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functionality and control Employing advanced control strategies and machine learning approaches, including imitation learning, for effective manipulation You will closely collaborate with other PhD students