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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
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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) methods, • with knowledge of statistics and ideally machine learning techniques (e.g., Natural Language Processing) and • excellent organizational and oral/written communications skills (command
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thinking, confident demeanour, motivational skills · Excellent written and spoken English and Spanish skills · Good knowledge of Microsoft Office · Good knowledge of economic statistics and life cycle
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-based longitudinal data collection • Proficiency in advanced statistical methods and data analysis techniques • Ability to develop computer software in Python or R • Excellent written and oral
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, computer science, statistics or mathematics with a demonstrable interest in their social aspects and implications • Knowledge of data studies scholarship (philosophy, history and/or social studies of data
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(e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical
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of statistical modeling and inverse problems is desirable Experience with programming languages, e.g., C++, MATLAB, Python, Julia, R Joy in dealing with challenging and interdisciplinary questions Sound knowledge