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clinical data usability. This position is embedded in a close collaboration between ETH Zurich’s Medical AI Lab and the University Children’s Hospital Basel (UKBB), enabling direct interaction with
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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
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portal. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. For further information about the group
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your online application with the following documents: Motivation letter CV Reference letters Certificates & Diploma Further information about Mobile Robotics Lab can be found on our Website . Questions
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further involves supporting the generation of high-quality, reproducible data suitable for intellectual property (IP) development, regulatory pathways and potential commercial use. The technician will work
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plants and investigating the impacts on the market/security. For this purpose, we will use data sourced from the ENTSO-E transparency platform and processed at the RRE. This upgrade will be utilized
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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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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