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6 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Civil engineering Mathematics » Statistics Sociology » Urban sociology Technology
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science, statistics, computational social science, economics, quantitative psychology, or a closely related field Expertise using machine learning Ability to work with high-dimensional and/or longitudinal data
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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scientific publications in international peer-reviewed journals Experience in conducting empirical studies and knowledge of statistical data analysis (e.g., SPSS, R, Jamovi) Very good knowledge of Good
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experiments, experience with online field methods is useful. For both projects, skills in statistical data analyses are important. You enjoy engaging with ideas in depth and are motivated by understanding
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requires a strong background in statistics and experience implementing analyses using scripting languages (e.g., R and Python), as well as experience working with large, complex, and unstructured datasets
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. For both projects, skills in statistical data analyses are important. You enjoy engaging with ideas in depth and are motivated by understanding concepts rather than simply completing tasks. You are willing
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statistical modelling; familiarity with or interest in machine‑learning approaches is an advantage, but not a requirement. Excellent written and spoken English communication skills. A genuine interest in