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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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before you start Very good knowledge of written and spoken English (C1 or higher) Knowledge of data analysis and/or programming and a willingness to familiarize yourself further (e.g., R, Pyton, GIS
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discipline Knowledge of causal inference methods and/or machine learning Strong command of R (required) and/or Python (desirable) Working knowledge of or interest in learning NLP methods (especially
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research, or forestry during your coursework, you're already on the right track! Programming Enthusiasm: You enjoy solving problems through coding and have some experience with R or Python for data analysis