152 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at ETH Zurich in Switzerland
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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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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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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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of Ultrafast Magnetism and Nanomagnetic Materials. Project background Magnetic materials are important for several real-world applications including motors, actuators, sensors and computation. For example, heat
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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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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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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
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the opportunity to contribute to the group's teaching activities if so desired. The Postdoc position provides access to state-of-the-art computational power enabling impactful research. The position supports
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in