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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian...
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies
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-established and highly visible track record of the laboratory in the analysis of plant growth processes regulated by AGC1 kinases. The Chair of Plant Systems Biology has strong expertise in all relevant
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focuses on the quantitative-empirical analysis of consumer and business behavior, the impact of new technologies on this behavior, as well as the resulting implications for consumer welfare. Our research is
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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication
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epidemiology. This collaborative environment fosters innovation and skill development, providing hands-on training in organoid culture, pollutant exposure methods, and data analysis. Additionally, through a
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on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data
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hardware is developed in cooperation with Heidelberg university. Data analysis, writing and publishing research articles, and presenting at topical conferences/workshops are an integral part of this project
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and policy, digitalisation, AI and smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading
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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high