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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
for highly-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting
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communication environments. For the advertised PhD researcher position, this work involves written and multi-modal corpora development and analysis, and working with computational models of irony and analysis
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the matching of models to real-world targets, and that a better understanding of this class of methods will provide insights for planning and evaluating translational research. This project will be primarily
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt, investigating how the interactions
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, geoinformatics, Data Science (Natural Language Processing), computational linguistics, taxonomy (especially entomology), or ecology with strong data skills Experience with text mining of scientific and historical
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well as sustainability. Its study model with Leuphana College, the Leuphana Graduate School and the Leuphana Professional School has won numerous awards. For the Institute of Management, Accounting & Finance (IMAF
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specifically encourages women to apply. For questions regarding the position, please contact Dr. Wiebke Szymczak Email: Wiebke.Szymczak(at)iwh-halle.de Phone: +49 345 7753 862 Application procedure Please apply
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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of