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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
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research environment Cutting-edge computational infrastructure Support for career goals through conference travel and workshops Exciting working environment, cultural diversity and attractive offers and
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Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
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development of the microbiome bioinformatics platform QIIME 2 and related bioinformatics tools. Key Qualifications Masters degree or bachelors degree plus equivalent experience in computer science, data science
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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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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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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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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