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equipment Develop computational and data analysis tools for bubble dynamics and ultrasound propagation Collaborate closely within our interdisciplinary team, which combines expertise in chemistry, mechanical
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high-performance computers to better understand our planet and to address pressing environmental and societal challenges. The heart of ETH Swiss GeoLab will be a technological platform designed to
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well as computational analysis (bioinformatics, data handling and AI-supported analysis and engineering). The work is embedded in a network of groups in Xenobiology located in France, Germany, and Belgium. Applications
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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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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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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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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of computational neuroscience. The successful candidate will join a dynamic team at the neural dynamics lab
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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