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, we plan to study atmosphere/ocean interactions at multiple spatial resolutions, and investigate consequences for tropical cyclones, clouds and precipitation and how they depend on spatial resolution
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observations, from satellite to radar data. The core model will be then fine tuned for specific applications, such as high-resolution prediction over Switzerland. Job description Further develop and train the
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, development stages, and silvicultural practices) is essential for this role. The project will be carried out in a collaborative environment between the two research groups, providing extensive technical support
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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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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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on building robust prototypes that can operate in real production environments. Job description Design and implement AI-based decision-support systems for manufacturing applications Develop LLM-based
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Engineering, ETH Zürich and matriculate in ETH Zürich. The research is related to development of experimental and modeling techniques to identify emission sources, simulate the airborne transport, analyze
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recently developed Aggregation-Uncaging Focused Ultrasound (AU-FUS) technology for delivering drugs non-invasively to specific brain structures using customized drug carriers. The key objectives
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in management and organization research, not a technical AI-development role. The successful candidate will study AI as an organizational and strategic phenomenon, with a strong focus on theory-driven
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology