198 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" "IFM" uni jobs at ETH Zurich
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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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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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address foreign supply shocks for strategic technologies, for instance energy technologies To this end, the doctoral student will conduct empirical studies with patents and other innovation data You will
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. The project will address questions regarding inheritance flows, inter-vivos gifts, bequest motives and taxation. You will be involved in all stages of research, from cleaning data to carrying out data analyses
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) Applications sent via e-mail or post will not be considered. For further information visit our group website , consult our published work , or contact Professor Martin Fussenegger (martin.fussenegger
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letters of recommendation A brief research plan (1 page) Applications sent via e-mail or postal services will not be considered. For further information, please visit our group website , consult our
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recommendation A brief research plan (1 page) Applications sent via e-mail or postal services will not be considered. For further information, please visit our group website consult our published work
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brief research plan (1 page) Applications sent via e-mail or post will not be considered. For further information visit our group website , consult our published work , or contact Professor Martin
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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