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machines (data movers, data pipelines, storage management). Scouting for new commercial and open-source software tools. Develop image analysis-based quality control tools for microscopes. Profile We
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knowledge in corrosion is not needed, but candidates are expected to show interest in this field Excellent oral and written communication skills in English Maturity and great motivation to learn and work
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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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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ecosystem, Linux administration skills. Experience with the following is preferred, though there will be ample opportunities to learn and gain more experience with all of these skills on the job: Maintainting
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CAD packages and work in a multi-disciplinary team of software engineers, architects, computer scientists and roboticists. Your projects will include multi-disciplinary collaborations with the timber
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and adventure, and short commutes via train/plain/automobile to anywhere in Europe. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich
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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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are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or other related discipline Demonstrated expertise in machine learning and computer vision
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gain valuable hands-on experience and learn important skills for their future. This is why we’ve created an ecosystem where students (Bachelor, Master, and Doctoral) are encouraged to ideate, build