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experience in statistical analysis and implementing machine and deep learning models using Keras/TensorFlow and/or PyTorch. You have experience in collaborative coding, version control, and utilizing computer
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collected data Grade student answers and drawings by following a rubric Code session recordings with qualitative methods (using a predefined codebook) Collaborate with the researcher to refine the codebook as
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of generative AI algorithms for manufacturing Collaborate with an interdisciplinary team to transform research results into innovative solutions Develop high-quality code and build the basis for our industrial AI
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. This position is part of a collaborative project funded by the Swiss National Science Foundation, which supports multiple researchers, at ETH Zurich and at partner universities, and focuses on the development
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, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and the associated documentation, write research papers or technical reports as appropriate, and
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Process Monitoring for Manufacturing 80%-100%, Zurich, permanent 17.07.2025 | Partnerinserat | Inspire AG Postdoc position in heterogeneous catalysis for the development
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Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. We are actively committed to a
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, invites applications for a Student Research Assistant Position on Public Policy and Urban Studies. Cities are transforming our world from the ground up. Today, more than half of the global population live
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. The Biozentrum offers a cutting-edge research infrastructure and a highly international environment and excellent working conditions. The project includes direct contact to an industry partner. The position is
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exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. If you have questions about the position please contact