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Profile Master's degree in Atmospheric Sciences, Environmental Sciences, Computational Sciences, or a related field Enthusiasm for weather, climate, and Earth system science Very good programming skills in
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction
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close collaboration with courts and partners across Switzerland. We are looking for Research Assistants (Law, Computer Science, or related fields). Job description We are looking for highly motivated
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and multimodal actuators and sensors In the second part, create grouped neuromuscular bundles with extremely high functional density approaching orders of magnitude of biology Investigate emergent
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and professionals across emerging areas like machine learning, cyber security, climate risk, distributed ledger technology, and quantum computing and translates that expertise into integrative research
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or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
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-world application through collaborations. Supervise master/bachelor students Teaching assistant for the robotic materials class Profile PhD degree in Materials Science and Engineering, Mechanical
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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Climate Science at ETH Zurich with a focus on understanding and quantifying weather and climate extremes in a warming climate. Project background The Postdoc position will be an integral part of the newly
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100%, Zurich, fixed-term ETH Zurich’s Energy and Technology Policy Group (EPG) is seeking two doctoral researchers in the field of Innovation and Policy of Energy Storage. Led by Prof. Tobias