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change in society. We are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of
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season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits . chevron_right Working, teaching and research at ETH Zurich We value diversity In
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conditions. In addition, there is a close collaboration with the EcoVision Lab of the Department of Mathematical Modeling and Machine Learning at the University of Zurich, which will facilitate the transfer
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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or using company-level data. We are looking for candidates with expertise in either Smart Manufacturing and/or Operational Excellence: Smart Manufacturing covers the application of digitalization, machine
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committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare
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products, machine design and structures. Profile We are looking for excellent applicants with a Doctoral degree in Mechanical Engineering, Computer Science, Applied Mathematics, or a related area of study
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public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits . chevron_right Working, teaching and research at ETH Zurich We
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season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits . ETH Zurich is a family-friendly employer with excellent working conditions. You can
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Postdoctoral researcher position on Resilient Energy Infrastructures for the Swiss Energy Transition
modelling and optimization tools developed by FEN researchers. In addition, you will collaborate with researchers from other groups with different scientific background (ICT, machine learning, reliability