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aspects of nuclear safely. The focus of the project is to gather essential data on the liquid source term, improve our understanding of the associated phenomena and develop tools to simulate the relevant
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systems. The wide range of experiments conducted in the BedrettoLab relies on numerous sensors and data acquisition systems that monitor processes both in the tunnel and within the surrounding rock mass
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Topic A: Automation and Monitoring for an Internal Development Platform Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research
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to magnitude -5 at meter-scale distances. All data is acquired and processed through SeisComP. The BedrettoLab team comprises about 30 scientists from diverse disciplines and collaborates with research
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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling
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considered. Further information about the professorship can be found on our website . Questions regarding the position should be directed to Prof. David Kammer by email dkammer@ethz.ch (no applications). We
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data (what type and where; and what your role was) Diplomas Copy of your MSc thesis (or term paper if the thesis is not yet submitted) Summary of your MSc thesis (max. 1 page) 2 scientific references
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desire of getting a glimpse into rigorous applied research. Prior experience in handling and analysing data using statistical software packages such as STATA and/or R is desired and a strong interest and
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that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information, please, contact Prof
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considered. Short-listed candidates will be asked to supply three letters from academic recommenders and three writing samples. Further information about the Institute for the History and Theory