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to support computational design synthesis and generative engineering design across different representations. A variety of potential application areas will be investigated including consumer products, machine
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Geology or other related discipline Demonstrated expertise in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge
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progress Profile Required PhD in Computer Science with the focus on AI Proficiency in python programming Strong expertise in machine learning and deep learning frameworks (especially PyTorch) Demonstrated
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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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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 sports offered by the ASVZ
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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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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. chevron_right Working, teaching and research at ETH Zurich We value diversity In line
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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