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researchers. Process and analyse mobility datasets (Python) and/or build interactive web views (JavaScript + modern tooling such as Vite). Document methods and contribute to open-science practices (reproducible
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understanding of the aging of solid insulation under mixed-frequency medium-voltage stress, see https://doi.org/10.1088/1361-6463/acd55f for a relevant example research work of our team in this area. Profile
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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on sustainability in energy and chemical process systems We develop methods to advance sustainable energy and chemical process systems from the molecular to the systems scale At EPSE, you will be part of a young and
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models
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offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. You can expect numerous benefits
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Applicants should have a strong interest in doing basic research in areas such as: Bio-inspired /Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application Materials Required: Submit
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part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season