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be based either within the Department of Mechanical and Process Engineering or the Department of Mathematics at ETH Zurich, dependinhg on the candidate's background and preferences. Profile A masters
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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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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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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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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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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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, 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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Profile PhD in Computer Science, Data Science, Machine Learning, Engineering, Biomedical Informatics, Bioengineering, or a related field Proficiency in python programming Strong expertise in machine
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) to facilitate recurring tasks. Profile Essentials: Bachelor’s or Master’s degree in IT or Computer Science. Proven experience in systems and service management, particularly in secure and regulated environments