247 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions in Switzerland
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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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will be responsible for a range of research tasks, including literature search, data curation, coding for systematic literature reviews, data analysis, and miscellaneous administrative activities (e.g
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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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for the application process with UZH as host institution (incl. salary rates) and what information is required on AVA. (PDF, 825 KB) Please contact the responsible persons at the institute, seminar or clinic
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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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employee of the host institution can enter the project data in AVA on your behalf and then send you the confirmation letter. Alternatively, a guest UZH login can be requested via the institute's IT manager
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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