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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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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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the analysis of body, head and facial movements and of gestures Development of analysis methods for behavioral responses and statistical analysis of the results Research on binaural hearing and speech in complex
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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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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
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage