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. All data is acquired and processed using SeisComP. Project background We are seeking an outstanding scientist with strong interest in network seismology and software development to enhance our
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the dissolution and precipitation of minerals as well as the associated electrochemical processes in CO₂-rich environments with limited dissolved water. This research will have direct applications to natural and
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social well-being in areas such as energy systems, transportation, and industrial processes. We are looking for a doctoral student to join our international team and contribute to our research efforts in
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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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process monitoring for manufacturing. Project background We are seeking a motivated engineer to join our team for a funded innovation project in collaboration with a leading Swiss industrial partner
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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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, 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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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
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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