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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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development for quantum key distribution and (2) TFLN circuit development for quantum enhanced precision measurements. This PhD project aims to further advance the nanofabrication of TFLN photonic circuits
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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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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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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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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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disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest
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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