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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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the bacterial import process, optimizing the system for high performance, and then applying it to problems around therapeutic peptides and proteins. The focus of the work is experimental and will include a broad
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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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for their contributions (ETH medal, CHI Best Paper Award), we will first conduct a real-world study in which subjects are put under the influence of cannabis while performing a pre-driving test and a driving task on a test
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Mobility Planning. Our research is conceptually driven and empirical. The motivation for our research is to enhance resilience in urban areas in terms of well-being, performance, sustainability, and health
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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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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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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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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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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