398 data "https:" "https:" "https:" "https:" "Edinburgh Napier University" positions in Switzerland
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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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one application per call on behalf of the Vice President Research. Candidates have to send their short proposal in English providing the information mentioned below by 28 April 2025 at the latest
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portal. Applications via email or postal services will not be considered. Further information about the Institute for Biomechanics can be found on our website . For further information, please contact Prof
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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- 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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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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of Zurich (UZH). Questions about the application procedure / Information on your application The professorship is part of the new Responsible AI Cluster at UZH, which is part of the UZH.ai initiative
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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