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numbers coincide with increasing workforce constraints. To do so, we are developing the AI for Science Instrumentation Gym, which is designed to bridge this gap by placing data-driven hypothesis generation
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-year PhD position is funded by the NCCR CLIM+ program ( NCCR CLIM+ — Climate Extremes and Society ), financed by the Swiss National Science Foundation. NCCR CLIM+ supports Switzerland in
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and multimodal actuators and sensors In the second part, create grouped neuromuscular bundles with extremely high functional density approaching orders of magnitude of biology Investigate emergent
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100%, Zurich, fixed-term The Group for Circular Economy within the Department of Management, Technology, and Economics at ETH Zurich investigates the role that technological innovations, policy
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in transport sciences, management/ decision sciences, applied mathematics, econometrics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track
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to the typical reaction in real life Profile Ideally, you have (or are about to receive) a Masters’ degree in transport sciences, management/ decision sciences, econometrics, mathematics, statistics
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-world application through collaborations. Supervise master/bachelor students Teaching assistant for the robotic materials class Profile PhD degree in Materials Science and Engineering, Mechanical
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specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120
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of Lausanne (UNIL). The project brings together more than 100 scientists from all parts of the country, bridging the gap between biology, chemistry, astrophysics, and Earth and planetary sciences. Project
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MS degree in Materials Science and Engineering, Mechanical Engineering, or related fields from a top-notch university Candidates with strong track records of research in soft robotics, smart materials