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to independently analyse data and to develop scientific texts on a scientific basis Knowledge of advanced statistical and machine learning techniques Experience in developing data visualization. Additional
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techniques is a necessity. Additional assets include microbial culturing, particularly of fungi, and fungal or bacterial transformations. Knowledge on presenting data and on conducting statistical analyses is
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like livelihoods, climate change, and health. The responsibilities of the candidate will include data cleaning and organizing datasets, index construction, cross-country comparisons, statistical and
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well as experience with quantitative statistical programs (STATA, R, or similar). Empirical research on welfare policy and/or climate policy or related areas with a focus on countries outside Europe is a strong merit