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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in Cancer Neuroscience Mission Our laboratory develops and applies advanced
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team of researchers working at the interface of structural engineering, earthquake engineering, and heritage conservation, and will have opportunities for collaboration and research visits in Croatia
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and free-space quantum optical technologies and engineering, and nonlinear optics. You will contribute to the automatisation of measurement routines, comprehensive characterisation of fabricated
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master's degre in Mechanical Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a
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Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a two-year master's degree. We offer
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, or time spent as part of a refugee procedure are not considered. Applicants must have a two-year master's degre in Mechanical Engineering, Manufacturing Engineering, Materials Science, Computer
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PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
Environmental Engineering (ENAC), based at the EPFL Fribourg associated campus. SONO Lab investigates low-carbon, climate-responsive and socially inclusive approaches to building design, construction and
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twins and engineering knowledge such as P&IDs and operating procedures. A particular emphasis lies on trustworthiness: quantifying uncertainty, verifying agent decisions before they reach the plant
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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in