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Earth observation and its applications. It uses satellite, airborne, ground-based and in-situ observations, together with geospatial data, AI-driven analysis methods and high-performance computing, to
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Übersicht Platform Engineer (HPC & AI Infrastructure) 80%-100%, Zurich, permanent Drucken The High Performance Computing group at ETH Zurich provides world-class HPC and AI/ML infrastructure to
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GeoLab uses satellite, airborne, ground-based and in-situ observations. To these diverse data sets it applies AI-driven analysis methods and high-performance computing to develop solutions for specific
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-surface infrastructure Advanced Computing: Competency in compiled languages (such as C++, Rust, or Julia) and multi-physics co-simulation standards (e.g., FMI/FMUs) and Experience in collaborative
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satellite, airborne, ground-based and in-situ observations and applies AI-driven analysis methods and high-performance computing to these diverse data sets to develop solutions for specific societal
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. The GeoLab uses satellite, airborne, ground-based and in-situ observations. To these diverse data sets it applies AI-driven analysis methods and high-performance computing to develop solutions for
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applying state-of-the-art numerical methods that harness modern high-performance computing systems. A passion to engage with a diverse array of observational data and to play an active role in
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-performance computing, statistical evaluation, interpretation, and integrated analysis. The unit maintains a portfolio of commercial and open-source applications operating on our infrastructure and
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high-performance computing resources at ETH Zurich Support for your scientific development through conference participation, training, and networking opportunities Opportunities to gain teaching
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(e.g. GitHub/GitLab), version control, and maintaining well-documented, reusable repositories. Working experience with high-performance computing environments. A strong interest in skeletal muscle