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clay systems and its extension to generic T-H-M-C numerical codes. Support the planning of experimental programs and interpretation of results from chemo-mechanical experiments conducted at LES/PSI, LMS
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-world breakthroughs in dairy cattle nutrition and beyond – apply today and shape the future of sustainable agriculture! Project background The Animal Nutrition Group, led by Prof. Mutian Niu at ETH
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position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers
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the position should be directed to Prof. Laura Nyström, Email laura.nystroem@hest.ethz.ch (no application documents or inquiries of the application status). We would like to point out that the pre-selection is
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international collaboration with partners in Switzerland with academia, clinics and industry, mentoring MSc, and PhD students. Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab ) will
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in the area of control and automation for energy systems. The doctoral student will be co-supervised by Dr. Efe Balta (inspire AG) and Prof. John Lygeros (IfA). The Automatic Control Laboratory (IfA
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interested in current political and societal discussions Be able to work independently, manage multiple tasks and deadlines Be a team player with strong communication skills Have experience with coding (e.g
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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes