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) for the electric power grid. FMs are advanced AI models developed through self-supervised learning, most often based on transformer architectures, that generalize across various tasks after initial training
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10th of April: Motivation letter (<1 page, German or English) CV (German or English) Listing of grades e.g. from My Studies Further information about our group can be found on our website . Please note
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about the individual running projects, please refer to our website . In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a
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the online application portal. Applications submitted by e‑mail or postal mail will not be considered. Further information about the Unit for Teaching and Learning (UTL) can be found on our website
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reviewed on a rolling basis. Please submit your application exclusively via the online application portal. Applications submitted by e‑mail or postal mail will not be considered. Further information about
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contact details of two or more references Further information about the Macromolecular Engineering Laboratory can be found on our website . For questions about the position, please contact Dr. Labouesse
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description Design, develop, and apply AI/ML methods — including large language models (LLMs) and foundation models (Google Earth AI, AlphaEarth, TerraTorch) — to extract, synthesize, and reason about
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Henneberger (jan.henneberger@env.ethz.ch). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting
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candidates by mid-May 2026. For further information about the Crop Science group and PhenoMix please visit the respective websites. Questions regarding the position can be directed to Prof. Dr. Achim Walter
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-time position is funded for four years. Salary and social benefits are provided according to ETH Zurich rules. For further information about the Crop Science group and PhenoMix please visit