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studies various historical and contemporary mathematical cultures from a multitude of methodological approaches. Project background We are looking for a postdoctoral researcher to conduct independent
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on the design of AI-based surrogates of large-scale energy system models and will be integrated in the activities of the Nexus-e group with close links to the ETH AI Center and the Reliability and Risk
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pipelines to support the labs long-term research interests Proactively manage the labs genomic data resources Supervise and mentor PhD and Masters students in comparative fungal genomics Assist in
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Develop of technologies and protocols that will find commercial applications Development of personal skills including writing, presentation and project management Possibility to work with and supervise
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to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative image‑based database to manage and