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We are looking for a research assistant (with a workload of 20%) to join our ongoing research program on online discourse and how to improve it The primary responsibility lies with our data pipeline
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organs Investigate macrophage dynamics and/or serosal repair mechanisms Analyze imaging data using quantitative and computational approaches Perform spectral flow cytometry and standard bioinformatics
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analysis methods and high-performance computing to develop solutions for specific societal and economic challenges. Located at the D4 Business Village in Root, close to Lucerne, ETH Swiss GeoLab works at
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, MATLAB, or similar) Motivation to combine computational modeling with experimental validation in a highly collaborative environment Workplace Workplace We offer A unique environment combining theory
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inspire AG is the leading Swiss competence centre for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Control and...
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images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples Compute partnership and efficiency Serve as the primary technical
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, Computational Biology, Computer Science, Data Science, Life Sciences or a related field. Experience working with biomedical or scientific research data. Good scripting skills (preferably Python; Bash or similar
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At the Professorship of Solid Mechanics (SMEC) in the Institute for Building Materials at ETH Zurich, we aim to understand how materials deform, degrade, break, and ultimately fail. Our research is driven by curiosity about the physical mechanisms that underlie failure and by the ambition to...
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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pioneers an integrated and data-driven approach to analysing social-ecological systems, combining diverse data sources and advanced computational methods to uncover long-term dynamics of ecosystems and human