32 machine-learning "https:" "https:" "https:" "https:" "https:" positions at ETH Zürich in Switzerland
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to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits
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transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and
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to global scales. It furthermore offers a range of educational activities and learning journeys, including a summer school, workshops and other outreach formats, designed to equip the next generation of food
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Energy-Efficient Machine Learning for Wearable and Augmented Reality
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research facilities You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working
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changes in station or vehicle configurations on travel behavior. The doctoral student will further estimate causal effects through predictive machine learning models, and develop a generalizable decision
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, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods for nowcasting, high-frequency indicators construction, machine learning, time-series
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transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits The Mucosal Crosstalk group of Dr. Annika Hausmann (SNSF Ambizione group
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background in quantitative methods and experience in analyzing secondary data Experience of working in low- and lower-middle-income countries and/or experience of statistical learning methods would be
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are considering different profiles for this position. An ideal candidate is A: A research scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning