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quality—while also being willing to handle the operational work required to make it happen—this position is for you. Project background This position is part of the strategic teaching development initiative
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motivated candidate with a strong interest in material development and characterization for electrocatalytic applications. LESE is focusing on the development, characterization and advancement of (solid) CO2
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bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Project background The introduction
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100%, Zurich, fixed-term The research group for Chemical Biology and Molecular Imaging (Frei Research Group ) at ETH Zurich is looking for a doctoral researcher to develop chemistry inspired tools
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is to clean up, organize, and prepare the diverse datasets collected during the Cloudlab seeding experiments. This involves working with data from a suite of in-situ and remote sensing instruments
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the Educational Developer of D-ARCH, and reports to the Executive Board as well as the Schulleitung, to develop all aspects of the new curriculum, throughout the various phases of the participatory
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Slack (ETH Zurich), Prof. Adrian Egli (University Clinic Zurich), Prof. Thomas Kessler (University Clinic Zurich Balgrist), Prof. Andreas Günther (ETH Zurich), and Prof. Catherine Jutzeler (ETH Zurich
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of the developments done in the context of this project. As such, it defines requirements and provides feedback on the outcomes. The advertised position is funded by EUMETNET (the European Meteorological Network
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consists of up to 15 hours per week during the semester. We handle working time flexibly so that you can take time to prepare for exams or fulfill other study obligations. Profile Current master's student
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Development of Machine Learning for Molecular Applications – Molecular Machine Learning” (SPP 2363 ) and will involve tight collaboration with the group of Prof. Dr. Frank Glorius from the University of Münster