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foundation. Candidates are also expected to have strong coding and implementation skills, with the ability to run large-scale experiments. While research experience is advantageous for PhD applicants, it is
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. We will develop distributed and addressable robotic actuating materials that demonstrate multifunctionality through the broad bandwidth of light. The Robotic Materials group headed by Prof. Hedan Bai
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research groups of Prof. I. Bogunovic and
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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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led by Prof. Marie Schölmerich at the Department of Environmental Systems Science, ETH Zurich, invites applications for a fully funded PhD position. Our group explores the fascinating world of anaerobic
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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 the study of
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. We will develop distributed and addressable robotic actuating materials that demostrate multifunctionality through the broad bandwidth of light. The Robotic Materials group headed by Prof. Hedan Bai
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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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thesis. The project is supported by Empa under the supervision of Prof. Thijs Defraeye (academic supervisor). It involves a joint affiliation with ETH Zürich, where you will be affiliated with