54 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at ETH Zürich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure
-
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
-
and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure
-
value diversity and sustainabilityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment
-
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
-
equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and
-
, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods for nowcasting, high-frequency indicators construction, machine learning, time-series
-
is 15 January 2026. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/assistant-professors-tenure-tr… Requirements Research FieldEngineeringYears of Research Experience4 - 10
-
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
-
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