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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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approaches to partition existing forest flux data sets across Europe Identification of flux drivers and their temporal development to understand responses of forests to climate and extreme events Compilation
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for projects that show unconventional thinking and introduce a unique approach. The focus is on promising ideas of high originality for which preliminary data are not necessarily available (high-risk research
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60%-80%, Zurich, fixed-term Are you an ambitious data scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to join
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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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on our work and constantly improve it. We believe that the world can be improved with open data. Project background As part of our Open Science team, you will support us in developing efficient data
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systems consisting of individually controlled atoms and atomic ensembles. Current research directions include: Demonstrating scalable architectures for fault-tolerant quantum information processing
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& further information International Networking Close Menu Engagement back Overview PageEngagement Awards Knowledge exchange Action plan 2025-27 back Action plan 2025-27 Empowerment GROW Guidelines & Quality
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Balance (TV/TB) and hardware verification tests Develop and maintain thermal models of spaceborne platforms or thermal control technologies, correlating with test data for validation Establish thermal
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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're