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a work from home policy. Potential for contract extension based on programme needs and performance. chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In
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Experience with high-performance or distributed computing environments Good understanding of meteorological processes and numerical weather prediction Interest in DevOps practices and sustainable software
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links to the ETH AI Center and the Reliability and Risk Engineering Lab . Job description Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization
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could have impact on diseases with inflammatory and metabolic components. Job description As a PhD student, you will: perform biological and physical characterization of the glycopolymers in different
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. Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) Experience in handling and processing large datasets or experience in high-performance
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processing large datasets or experience in high-performance computing (HPC) is an advantage Experience with weather and climate applications and weather ensemble forecasting is an advantage You are creative
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of interferometric optical systems Perform straylight and ghost analysis to ensure compliance with high-contrast performance requirements Contribute to the development of beam combination and wavefront control
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scarce and hinder the ability of the country’s researchers to advance in this most important field. Our collaborative efforts with the A*STAR Institute of High Performance Computing (IHPC) and other
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The available position is funded by the Swiss National Science Foundation. This collaborative project (EPF Lausanne, University of Lausanne, ETH Zurich) aims to improve the performance of joint arthroplasty
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental