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. The project enables a targeted combination of expertise from machine learning, data science, and education with insights from educational practice. Drawing on large-scale data from authentic educational
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both empirical and simulated genetic data. These metrics will be applied to a unique large-scale dataset on plant genetic diversity in grasslands and forests. The position is part of the collaborative
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, environmental and/or ecological sciences ability to work with large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C
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and training concept. For more information on the positions, you may contact: Katja Tielbörger katja.tielboergerspam prevention@uni-tuebingen.de (Postdoc Position) All three Universities seek
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), to: Universität Greifswald Institut für Data Science Frau Prof. Dr.-Ing. Kristina Yordanova Felix-Hausdorff-Straße 18 17489 Greifswald sekretariat-datascience@uni-greifswald.de Where to apply E-mail sekretariat