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, statistics, data science, or a related field. Intermediate to advanced written and oral command of English. Some familiarity with scientific data analysis and programming (e.g., in R, Python). Ability
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and pursue research projects independently as well as in collaborations with multi-disciplinary teams. experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as
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student in Social Sciences (f.e. Economics, Political Science, Sociology, Psychology) Knowledge of R, Python or Stata (and willingness to work with R) Experience in quantitative text analysis Very good
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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, Economics, Environmental Sciences, or a related field excellent analytical skills and interest in theoretical and applied modeling required: demonstrated programming experience (knowledge of R, Python and/or
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of coastal and marine monitoring data Experience in numerical model data extraction with Python and data analysis in R as well as experience in spatial data analysis with geo-information systems (GIS
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and structured working style Very good written and spoken English skills Desirable additions to your profile Knowledge of and practical experience in programming with Python Experience with web service
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discipline Interest in comparative research on parties, elections, and democracy Solid knowledge of social science research methods and statistical software (R or Python; if no prior knowledge of R