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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
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group’s phenotyping research focuses on the development of methods and models to determine traits of relevance for crop breeding and variety testing. Project background PhenoMix is a joint project of four
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background The Swiss Data Science Center (SDSC) is hiring a Software Research & Development Engineer to join its project-based engineering team in Zürich. This team focuses on transforming research outcomes
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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., lecturers, curriculum developers, student organizations). The interviews serve to collect best practices and gain a nuanced picture of the expectations, challenges, and concerns surrounding sustainability and