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80%-100%, Zurich, fixed-term The Department of Computer Science at ETH (D-INFK) is offering a new Master of Advanced Studies (MAS) in AI and Digital Technology. This is a continuing 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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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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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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The Pioneer Fellowship Deep-Tech Incubation Program is already a highly successful program for ETH spin-offs and has been running for 15 years. ETH start-ups, on the other hand, are technology companies based
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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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 Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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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