113 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" positions at ETH Zurich
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@inspire.ch ). For technical questions, please contact Dr. Daniel Werner, Head of Additive Manufacturing inspire-St.Gallen (daniel.werner@inspire.ch). Please also visit our websites Inspire and Advanced
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environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive
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should be directed to Prof. Dr. Daniel J. Müller, daniel.mueller@bsse.ethz.ch and/or Prof. Dr. Sascha Fauser, sascha.fauser@roche.com (no applications). Further information about the Biophysics Group
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100%, Zurich, fixed-term The bioMatter Microfluidics Group of Dr Eleonora Secchi at ETH Zurich is seeking two PhD candidates. Our research focuses on uncovering the physicochemical mechanisms
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Infrastructure-as-code tools (e.g. Terraform/openTofu) Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, HashiCorp Vault) Experience with the following is preferred, though
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information about the Nanophotonic Systems Laboratory (NSL) can be found on our website . Questions regarding the position should be directed to Prof. Romain Quidant (rquidant@ethz.ch) and Dr. Nadine Meyer
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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will not be considered. Evaluation starts 10 January 2026. For more information please contact Prof. Dr. Michael Sander (michael.sander@env.ethz.ch). About ETH Zürich ETH Zurich is one of the world’s
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on our Website . For more information about Quino Energy, follow this link . Questions regarding the position should be directed to Prof. Dr. Máté J. Bezdek email (mbezdek@ethz.ch). Please note that we
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Data Center, managed by Dr. Arianna Renzini. The Swiss LISA Data Center and Gravitational Physics group are committed to delivering state-of-the-art approaches to tackle the upcoming LISA data analysis