227 systems-science "https:" "https:" "https:" "https:" "UNIV" positions at ETH Zurich in Switzerland
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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The Albert Einstein School of Public Policy at ETH Zurich is an interdisciplinary centre that combines public policy, science and technology to address the greatest societal challenges of our time
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human therapies. The D-BSSE is the first truly interdisciplinary research department, uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations with
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-inspired human therapies. The D-BSSE is the first truly interdisciplinary research department, uniting theoretical and experimental biology with advanced bioengineering and fostering close collaborations
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, nanotechnology, and bioelectronics. The D-BSSE is ETH Zurich's first truly interdisciplinary research department uniting theoretical and experimental biology with advanced bioengineering and fostering close
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, nanotechnology, and bioelectronics. The D-BSSE is ETH Zurich's first truly interdisciplinary research department uniting theoretical and experimental biology with advanced bioengineering and fostering close
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to study plant functional diversity. The Grassland Sciences group is a vibrant and international working group in the Department of Environmental Systems Science at ETH Zurich. We are looking for two
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of Industrial
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scientific productivity. To enhance the efficacy of AI for Science models, it is imperative to integrate simulations that encode prior scientific knowledge within these AI frameworks. This integration is aimed
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weather and climate science. Job description Further develop and train machine learning model in Anemoi with a focus on regional weather predictions Improve the system by integrating observation data