195 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at ETH Zurich
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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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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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. 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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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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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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data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration
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challenges. The work is conducted at the interface of mechanics, artificial intelligence, and computational science. The developed methods will be validated on benchmark problems and real-world data and
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these effects both require very high resolution and long time series of data, making it computationally expensive. By leveraging findings from recent km-scale modeling and exploiting high-resolution idealized
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compromise grid reliability and energy security. We proceed in two steps. First, we use AI-based document analysis and engineering data to construct detailed bills of materials (BOMs) for selected critical