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Economics, Economics, Data Sciences, Psychology, Statistics or a related field Evidence of research activity (publications) and/or future scholarly output (working papers, etc.) Proven interest in topics
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practice Preparation and analysis of collecting qualitative and quantitative data Empirical data analysis of survey, experimental and observational data using statistical and/ or econometric methods
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Knowledge of empirical methods and relevant statistical software (e.g., Stata, R) Advanced knowledge of English (C1) and Spanish (C1); other languages will be an asset Willingness to cooperate and ability
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social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, strong computer skills, and excellent
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software, ability and willingness to perform statistical data evaluations and initial experience in project management. Your application should include: a letter of motivation outlining your personal
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applied statistics explore the potential of mixed forest stands for supporting multifunctional silvicultural approaches. We focus on European temperate forests dominated by European beech and try to uncover