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an interplay between approaches in statistics, geometry and optimization. We offer an interdisciplinary quali-fication program that equips our graduate students with a broad set of skills for analyzing data and
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skills You have good expertise in using statistical software (R, Stata or other statistical software) Good communication skills in English; good communication skills in German are a plus You have good
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engineering or comparable ⦁ Knowledge of statistical methods and machine learning ⦁ Knowledge of the programming languages Python and/or R ⦁ Ideally initial experience with common ML libraries and
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planning, management, and supervision of experimental work collaboration with other research partners to achieve project goals statistical analysis of trial results writing scientific publications and
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. Training and experience in quasi-experimental methods is a plus You have good coding skills in R, Stata, Python, or other statistical software packages Good communication skills in English; good
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Sciences, Tree Physiology, or related disciplines; Strong analytical and methodological skills, with a focus on quantitative data analysis (e.g., statistics, time-series analyses, model fitting); Proficiency