192 data-"https:"-"https:"-"https:"-"https:"-"Linköping-University" positions at ETH Zurich
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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60%-100%, Zurich, fixed-term We are looking for a creative Interaction Designer to craft compelling visual experiences and digital assets. You will be responsible for transforming complex data and
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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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the area of cancer genomics, and act as the central point of contact for clinical and biological partners, especially with regard to data management, ethics applications, and legal frameworks. You will also
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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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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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. 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