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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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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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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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subsequently into models of antibiotic responses, with direct relevance for drug development and patient treatment. We (boecklab.com ) are looking for a scientist who will define the computational backbone
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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