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(Docker, Singularity) Experience working with high-performance computing environments Workplace Workplace We offer Your career with impact: Become part of ETH Zurich, which not only supports your
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. The ideal candidate would: Perform LC-MS proteomics experiments independently from sample preparation to data analysis. Coach projects` users on the best analytical approach to answer their research questions
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ETH’s high-performance computing (HPC) clusters A dynamic, interdisciplinary, and supportive research environment at the interface of biology, engineering, and computational science Flexibility
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical
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mutual learning. Access to high-performance computing. Terms of employment: The desired starting date is September 1st, 2025. We are looking for a postdoctoral researcher/senior scientist for an initial
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physically. - be a high school graduate under the age of 25 when applying for undergraduate programs - be a bachelor's degree holder under the age of 35 when applying for master's programs - be a master's