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assessments weigh uncertainties conservatively and simplify the interactions between subsurface heterogeneity, 3D groundwater flow and BEP. To make risk assessments of BEP more realistic it is therefore
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process knowledge into modern AI tools. The research offers the opportunity to explore neural network architectures, tabular transformers or Bayes methods to include process-information into machine
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semantic change and synonymy evolution across time. developing hierarchical clustering architectures to identify and track polysemous senses in historical corpora. applying the framework to English (COCA
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is therefore necessary to get a better grip on these interactions, but also to make sure that uncertainties are propagated in a sound and robust way. The envisaged PhD candidate shall investigate