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will work within the Computational Mechanics Group of ETH Zürich in collaboration with industrial partners. You will have the unique opportunity to learn, develop and apply a range of cutting-edge
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velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
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or similar tools) Initial experience with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds
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Department of Chemistry and Applied Biosciences can be found online . Questions regarding the position should be directed to Prof. Máté Bezdek (mbezdek@ethz.ch). About ETH Zürich ETH Zurich is one
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(arkadiy.simonov@mat.ethz.ch) (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting