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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. We are looking for a motivated Machine Learning Scientist to join the WeatherGenerator project. Like
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100%, Zurich, fixed-term The Swiss Seismological Service (SED) at ETH Zurich invites applications for a PhD position within a multi-year applied research project on the detection, localization and
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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applying machine learning to PNT (Positioning, Navigation, and Timing) and geomonitoring challenges, including signal characterization and anomaly detection. Project background We are looking for a highly
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(multi-view RGB imaging), drones, handheld and manual devices Contribute to the design and/or establishment of a phenotyping robot that can acquire data from RGB cameras and potentially other sensors
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100%, Zurich, fixed-term The postdoctoral researcher will advance the application of AI, large language models (LLMs), and machine learning to extract trustworthy climate information from large
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position – Source
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Order-from-Disorder in Frustrated Quantum Magnets The Neutron
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impact and societal role of the Department of Mathematical Modeling and Machine Learning (DM3L). The future assistant professor tenure track will supervise PhD students and contribute to teaching and its