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80%-100%, Zurich, fixed-term The Bedretto Underground Laboratory for Geosciences and Geoenergies (BedrettoLab) at ETH Zurich is at the forefront of experimental geosciences, conducting cutting-edge research in earthquake physics, seismic instrumentation, and geothermal energy. A dense,...
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expertise in material science, engineering, and computing. The lab focuses on sensing technologies for electronic textiles, with applications in sports and health. To strengthen its operations, the BMHT Lab
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40%-60%, Zurich, fixed-term The Professorship of Computational Mechanics of Building Materials at ETH Zurich is seeking a motivated and skilled Academic Editor / Science Communication Specialist
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We look forward to receiving your application with the following documents as a single PDF: A cover letter indicating which track you are applying for (RL/Optimization, LLM/Knowledge or both) CV Publication list Contact details of two refereesPlease send your application to...
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broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics
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Curious? So are we. We look forward to receiving your online application with the following documents: Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information...
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deficient waters of the eastern tropical Pacific, where a large portion of the marine N2O is emitted into the atmosphere, but we plan to extend this also to other regions of the world. Ph.D. position 2
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Zurich and the University of Zurich that applies the latest omics technologies for biomolecular research and personalized medicine. The FGCZ Genome Informatics group supports researchers with the analysis
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with