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, R, Matlab, Google Earth Engine); You are comfortable compiling, managing, and analysing diverse datasets from different sources; You enjoy collaborating in interdisciplinary research environments and
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are
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(ideally in Fortran). Experience with parallelisation and Linux clusters is an advantage. You have a demonstrated ability to work with scripting software (e.g. Phyton, Matlab, R) for visualisation and
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School means working in a welcoming and inspiring academic environment. What you bring A PhD in economics or econometrics; Experience in working with Stata and/or R; Experience in working with admin data