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The successful PhD candidate will contribute to the scientific development, implementation, and evaluation of a mobile app. Working within a highly multidisciplinary team of psychologists
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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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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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, 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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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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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
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stimulation techniques. The goal is to develop safe, efficient, and environmentally acceptable stimulation strategies for geothermal applications across Europe. Job description Plan, conduct and analyse
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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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chemical analysis facility, helping to develop its policies, procedures, user culture, and strategy. Facility operations: Oversee the day-to-day activities in ECAF, ensuring that instruments and user