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parameters, are inevitable. Specifically, the improvement of emission inventory data by data assimilation applications has demonstrated strong positive impact on the analysis’ performance. However, recent
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project partners · Very good language skills in English and German Tasks · Independent work on a research project, including method development for spatially resolved strain characterization
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, organization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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spatial omics data and to uncover the regulatory mechanisms driving cellular differentiation during vertebrate embryonic development. In this project, you will develop quantitative machine learning models
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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intelligence and spatial data management with a view towards modern didactics, starting as soon as possible. The professorship for Big Geospatial Data Management concentrates on the methodology of acquisition