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of mixtures. As a long-term goal, this work shall contribute to understanding low dose mixture effects and derive regulatory strategies to address them across multiple regulatory silos. The activities
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, this work shall contribute to understanding low dose mixture effects and derive regulatory strategies to address them across multiple regulatory silos. The activities include in detail: Structured
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Objective Advanced Argentinean...
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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to act first and evaluate much later. This PhD project closes this gap by: integrating the porous-media solver of DuMux, the IWS-developed simulator, with its new shallow-water module recently created in
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of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
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Description In the Division of Diagnostics and Differential Psychology, we investigate systematic patterns and processes of personality development and personality-context transactions, with a focus
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD studies for individuals who plan to pursue a career in teaching and / or research at a higher education
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available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling