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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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and confirming that you are expected to finish on time and include the most recent draft of your thesis. Please note that we exclusively accept applications submitted through our online application
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academia to deliver timely and cost-effective solutions to one of the most challenging problems in healthcare. Job description You will be responsible for conducting your own independent research. The focus
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date: Fall 2026 (flexible). Further information about the department can be found on our website . About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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submitted through our online application portal. Applications via email or postal services will not be considered. Further information about NEXUS Personalized Health can be found on our website . Questions
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as a decision has been made on your application, we will inform you about the next steps in the selection procedure. Please note that we exclusively accept applications submitted through our online
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Transcript of records Etc. Further information about AMLZ can be found on our website . Questions regarding the position should be directed to Sebastian Lang, selang@ethz.ch (no applications). Please note that
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information please contact Dr. Jonas Savelsberg, Head of the Nexus-e group via e-mail (jsavelsberg@esc.ethz.ch). More information about the Energy Science Center is available on o ur website . About ETH Zürich
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future . Curious? So are we. We look forward to receiving your online application with the following documents: Application Letter Updated CV Names of two references Further information about the
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical