252 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions in Switzerland
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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institutions worldwide. Further information about Professorship for International Relations and Data Science can be found on our website. Questions regarding the position should be directed to Professor Dr
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/certificates Contact information of 2-3 referees A short description of research interests Please note that we exclusively accept applications submitted through our online application portal. Applications via
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AVA with your UZH login (short name and password). If you do not (yet) have a UZH login, an administrative employee of the host institution can enter the project data in AVA on your behalf and then
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portal. The deadline for applications is the 3rd of April, 2026, with a start date of Summer-Autumn 2026. Further information about our groups can be found on the Planetology and High Pressure Group
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research achievements and research interests Detailed CV Transcripts of all degrees (English) Names and contact information of at least 2 references Representative published research work (Papers or thesis
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involve team-based, open-source software development to build planning automation tools and digital information exchange between AEC disciplines. Specific topics of investigation may include computational
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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, and neuromuscular function. It provides state‑of‑the‑art instrumentation for motion capture, force measurement, wearable sensor technologies, and advanced data analysis. The facility enables researchers
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even