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scarce and hinder the ability of the country’s researchers to advance in this most important field. Our collaborative efforts with the A*STAR Institute of High Performance Computing (IHPC) and other
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this role, you will support a research project conducting a meta-analysis about embodied educational design. The role involves reviewing academic literature, screening relevant studies, and extracting
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persons Further information about Neurotechnology group can be found on our website : Questions regarding the position should be directed at ntjobs@ethz.ch (no applications). Please submit the application
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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