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for deployment and test them To excel in this role as a ML-focused robotics engineer, you should possess: Pursuing a master’s degree in data science, computer science, robotics, electrical or software
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. These positions will contribute to a broader research program focused on devising pathways toward a just and sustainable biosphere by examining how governance systems, digital technologies, and socioeconomic
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group “Design for New Technologies” at inspire offers in collaboration with the Product Development Group
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, Environmental and Geomatic Engineering has an opening for a student research assistant in our Sustainable Urban Transition Lab. Project background At the Sustainable Urban Transition Lab at ETH Zurich, we
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools, custom-designed furniture, and plenty of plants. We currently have two locations: our main space near
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft