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Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.
Research Assistant on data mining and data analysis (20%)
We are looking for a Bachelor or Master student with advanced data skills (scraping, machine learning), familiarity with at least one statistical package or code (Stata, R, Python), and a permission to work in Switzerland.
This position offers insights into the academic profession, an opportunity to exchange with a highly motivated research team and the possibility to work remotely.
**Eawag is**a modern employer and offers an excellent working environment where staff can contribute their strengths, experience and ways of thinking. We promote gender equality and are committed to staff diversity and inclusion. The compatibility of career and family is of central importance to us.
For further information, please contact Dr Ivana Logar or Dr Stefano Carattini.
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