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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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approaches specifically addressing the health challenges faced by children and adolescents globally. The BRCCH is located in Basel, at the heart of the leading Life Science cluster and offers excellent
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Availability to work on-site at the ETH AI Center in Zürich-Oerlikon approximately half a day per week Nice to Have Interest in educational technology Familiarity with LaTeX Workplace Workplace We offer
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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Your profile You are interested in research in the area of environmental and public economics. Because some of the work will consist in obtaining and organizing data for research purposes
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Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
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of Management, Technology and Economics (D-MTEC), it delivers continuing education for professionals in public administration, NGOs, and international organizations. With a strong focus on higher education
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, Environmental sciences, or a closely related field. Proficiency in programming, particularly in Python, is essential. Knowledge of GIS (QGIS or ArcGIS). Experience working with spatial data, shapefiles, raster
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science for collecting ecological data and engaging the general public. We conduct projects and maintain long-term monitoring studies in forest and Alpine field sites in the USA (Washington State) and
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20%-30%, Zurich, fixed-term Our research team at KOF, ETH Zurich is seeking a student assistant to contribute to the project "Computing Resilience Indicators for Pharmaceutical Supply Chains