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neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close
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of statistical analysis of genetic, proteomic data and their links to neuropsychological phenotypes Interpretation and interdisciplinary discussion of research results Design and implementation of own research
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along different design options (reward payment paid out as loans or transfer to governments or as universal cash transfers to populations) Applied optimal taxation theory analysis to assess potential tax
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reporting skills (4) Experience in spatial data analysis using geographic information systems (GIS) and programming languages (R, Python) as well as experience in numerical model applications and multivariate
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properties (IOPs/AOPs) for the German Baltic Sea coastal region. This will serve as a training data set for AI-driven simulations in the SEAGUARD project and contribute to the analysis of drivers of change in
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a strong background in high-performance computing or in numerical analysis. If you think that you have the requirements above, you should apply for this position. We offer a young, dynamic, and
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based