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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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) and UZH (Leippold, Vaghefi, Colesanti Senni) to align AI development with climate science research questions Participate in CLIM+ programme activities, workshops, and cross-project initiatives
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sampling and plant propagation in the greenhouse Molecular biology experiments and sequencing library preparation Analysing sequencing datasets with bioinformatic tools (central part of the project
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single-cell and next-generation sequencing techniques as well as human and murine in vivo and in vitro studies and combine these with genome-wide computational and bioinformatic analysis. With strong
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in community and clinical settings, coordinating data collection and analysis across multiple modalities (behavioural, cognitive, sensor-based, and clinical), and contributing to the iterative
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, the project integrates country-wide data analysis, water quality monitoring of spring networks and detailed mechanistic insights into subsurface flow routing and transit times. The project is closely aligned
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clinical settings, supporting data collection and analysis across multiple modalities (behavioural, cognitive, sensor-based, and conversational), and assistingin the iterative development and validation
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incorporating thermo-electric materials. Such devices have interesting applications in space under significant weight, volumetric, power, and resource constraints. The project consortium includes multiple labs
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the coordination and strategic alignment of exter-nally conducted research projects, while proactively shaping and building new research themes, platforms, and collaborative formats in the field
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental