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20%-30%, Zurich, fixed-term Our team at KOF, ETH Zurich is seeking a student assistant to support the project "Computing Resilience Indicators for Pharmaceutical Supply Chains." This project aims
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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molecular processes occurring within and between cells to explore molecular mechanisms across scales in biology. We encourage applicants who combine experimental and theoretical/computational approaches
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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100%, Zurich, fixed-term The Chair of Infrastructure Management lead by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management (IBI) of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data...
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inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools, custom-designed furniture, and plenty of plants. We currently have two locations: our main space near
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of computational and statistical genomics, and bioinformatics. Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases
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, for preclinical testing of engineered circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The position is embedded in the Computational Biology (CoBi) group
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The research focuses on the retrieval of snow and ice parameters and their dynamics using multimodal Synthetic Aperture Radar (SAR) observations. The aim is to explore two scientific topics within the cryosphere domain. The first topic involves analyzing SAR interferometry to generate time...