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to environmental changes in the ocean and what effects this has on ecosystems and biogeochemical cycles, particularly the uptake and storage of carbon dioxide in the sea. Methods used include the analysis
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in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios
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is to understand the evolutionary driven force by which plants adapt to varying (extreme) environments on their metabol(om)ic landscape. Studies in this direction will be carried out in model organisms
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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to control of infection. The focus of the project is on virus-specific CD8 T cells and the local hepatic regulation of their effector functions through environmental and cytokine-induced signals. The AG