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is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns, and make biomechanical simulations embedded in the generative
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, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
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(no applications). We would like to emphasize that the pre-selection process is conducted by the responsible recruiters, not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading
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description Manufacturing & Technical Operations Implement an agile, ISO 13485-compliant cleanroom and manufacturing process Oversee the fusion of quality and manufacturing into a coherent execution structure
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systems in line with sustainability goals and levers for promoting plant - based value creation and nutrition in Switzerland through integrated pilot projects in production, processing, trade, and
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surveying, and geodetic data processing. We are particularly interested in deformation monitoring using point clouds, development of new measurement systems, and advanced geodetic data processing using
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100%, Zurich, fixed-term The Global Health Engineering GHE group is based within the Department of Mechanical and Process Engineering at ETH. Our interdisciplinary team includes environmental
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Electrical Engineering bachelor's (sensing, signal processing) with a more Computer Science-oriented master's (machine learning, time series processing). This is not a position in biomedical engineering and
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Digital Processes: Integrated information management from office to site, incl. visual analytics and LLM-enabled processes. Intelligent, Collaborative Project Delivery: Greater data transparency and multi
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core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You will work