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100%, Zurich, fixed-term To support teaching, research and knowledge transfer, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment. Within
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations. Project background Safe and efficient railway
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identify therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine
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with global change. Research makes extensive use of global modeling tools (GEOS-Chem and CESM) and analysis of large observational datasets. The biosphere represents an important source of many reactive
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background Currently, soils store a large fraction of the CO2 emitted into the atmosphere. However, whether they will continue to do so in the future is unclear, as soil fertility potentially limits the amount
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collaboration between several departments to comprehensively address the big questions of life’s origins and ubiquity. The Centre includes a dedicated gathering place to meet up and hold scientific discussions in
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100%, Zurich, permanent Tethys Robotics develops innovative underwater robotic solutions for inspection missions in challenging conditions. We serve clients such as large asset operators and
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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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