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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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100%, Zurich, fixed-term The Automatic Control Laboratory of ETH Zurich is a community of approximately 50 researchers working on the development of methods and computational tools for automation, exploring their potential for promoting our social well-being in areas such as energy systems,...
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master's degree (PhD positions) or a doctorate (Postdoc positions) in political science or a related discipline A background in the study of the European Union, borders, and/or political development is an
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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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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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100%, Zurich, fixed-term Thesolid-state NMR research group in the Departement of Chemistry and Applied Biosciences is looking for a PhD student on the topic of pulse-sequence optimization based
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tasks of the Chair Support in the culture of the Chair, through involvement in reading groups, mentoring of doctoral candidates, the organization of workshops, etc Your profile PhD related to the history
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collaborate with other PhD students working on muscle technology, manipulation, control, and machine learning. The output of the PhD thesis will significantly contribute to the advancement of musculoskeletal