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topic from the areas represented within the group. The group’s interdisciplinary focus includes not only classical topics in numerical analysis, such as the analysis of nonlinear PDEs, but also modeling
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Mail: Boltzmannstrasse 3 85748 Garching Web Page: https://www.spp2311.de https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/
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. Contact: Prof. Dr. Barbara Wohlmuth Email: Postal Mail: Boltzmannstrasse 3 85748 Garching Web Page: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/ https://www.spp2311.de/research
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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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/gruppen/numerical-analysis/ and https://www.spp2311.de/research-projects/ specifically https://www.spp2311.de/projekte/in-stent-restenosis-in-coronary-arteries-in-silico-investigations-based-on-patient
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Postdoc (f/m/d) Methods for Geochemical Exploration and Sampling Strategy / Completed PhD in the ...
mainly surficial geochemistry, e. g. soil and plant sampling, but also knowledge from drill core assets and geophysical exploration data # Analysis of the efficiency of the sampling strategy based
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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 3 months ago
knowledge from drill core assets and geophysical exploration data # Analysis of the efficiency of the sampling strategy based on simulated campaigns on sandbox ground truth models # Establishment of a
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, Germany. The successful candidate will have experience in the development and application of numerical models for different purposes, across various scales and environmental science contexts. The successful
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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