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efficiency or reducing embodied carbon. We invite candidates to propose research projects that focus on developing innovative methods, digital tools and advanced computational models - leveraging AI, machine
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-technology cooperation, knowledge management, and the operator of the future. Smart Manufacturing. Application of digitalization, machine learning, analytics, and other Industry 4.0 technologies in
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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| Abteilung Beratung Professorinnen und Professoren Lehrentwickler:in mit einer Leidenschaft für Learning Experience Design (m/w/d) 80%-100%, Zürich, befristet 17.07.2025