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and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation
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infrastructure, including high-performance computing resources and doctoral training programs Be part of a diverse research group that values intellectual curiosity, collaboration, and creativity Recieve a
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with additional biophysical features Apply the framework to morphogenetic problems based on imaging data Run large-scale simulations on ETH Zurich’s high-performance computing (HPC) infrastructure
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their computing needs. Furthermore, very good communication skills in English (German is an asset) to convey complex technical concepts and a service-oriented attitude are necessary to effectively and successfully
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more comprehensible for you. The Research Analytics Services group, hosted by the section Research Support Services and Acquisitions, is hiring a specialist in library and information science as team
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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