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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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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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) 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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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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and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. The position will involve close collaboration
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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
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page max) Statement of future research interests (2 page max) Contact information for 3 references Please note that we exclusively accept applications submitted through our online application portal