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, are rare. This project exploits the unique monitoring capabilities of the Bedretto Underground Laboratory to investigate these processes and to develop experimentally validated guidelines for safer shut-in
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, we plan to study atmosphere/ocean interactions at multiple spatial resolutions, and investigate consequences for tropical cyclones, clouds and precipitation and how they depend on spatial resolution
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innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. Project background We are looking for a motivated Machine Learning Scientist to join the development team
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decision-making and legal reasoning in the presence of AI tools Contributing to the development of experimental designs and evaluation frameworks for AI-assisted decision-making Collaborating with
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(e.g., documentation, coordination, project website) Supporting the development and refinement of AI-based research prototypes Assisting in research activities This flexibility allows candidates
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As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic systems representing the building blocks
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The Neurocognitive Mechanisms of Repetitive Negative Thoughts.The NCM Lab focuses on understanding how the brain controls behaviour and on developing non-invasive interfaces to modulate brain function during wake and
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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to work with leading experts across Europe to develop solutions for Decentralised Critical Infrastructure Asset Monitoring and Condition Assessment . This position focuses on next-generation distributed
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of statistical seismology and machine learning. This position is part of two EU-funded projects: GeoTwins , which focuses on creating digital twins for geothermal systems, and Earth-AID, which aims to develop