226 systems-science-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at ETH Zurich
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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
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100%, Zurich, fixed-term The Technology Marketing Group , founded by Florian von Wangenheim in 2013, is a pioneering research group at ETH Zurich dedicated to exploring the intersection of marketing
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100%, Zurich, fixed-term The Energy Science Center (ESC) at ETH Zurich is an interdepartmental competence centre that facilitates energy research and teaching activities across research fields and
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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@ethz.ch (no applications) for specific questions about the position. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our
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Supporting experimental documentation and basic data organization Training will be provided for biological sample preparation and experimental procedures. Profile Background in electrical engineering, sensors
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. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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80%-100%, Zurich, permanent The Department of Environmental Systems Science (D-USYS) at ETH Zurich is seeking a Technical Director to lead the operation of the Environmental Chemical Analysis
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We are looking for a Technical Expert to join our focused ultrasound technology team for delivering drugs non-invasively to the brain using customized drug carriers. This position will support our
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The Neutron Scattering and Magnetism Group, Physics Department, ETH Zurich, is currently looking to fill a PhD position on experimental studies of frustrated quantum magnets using neutron scattering