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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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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
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to integrate cutting-edge multi-sensor fusion and AI technologies? Join our young and dynamic team at the Chair of Space Geodesy , led by Prof. Benedikt Soja . We are at the forefront of developing innovative
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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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develops uniquely interdisciplinary design and history and theory research for landscape architecture. Through geohistorical practice, we integrate tools from natural sciences and humanities with those
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hospitals—in neuroscience research and training. This includes developing innovative infrastructure, securing funding for collaborative projects, promoting the translation of research findings into clinical
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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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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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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