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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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, the metabolome and metallome of marine macro- and microorganisms by cutting edge LC-MS/MS-based chemoinformatics/computational untargeted metabolomics (MS/MS fragment similarity based molecular
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
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, statistical physics, multiscale modeling, and uncertainty quantification. The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists
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and economically viable absorber system for the separation of CO₂ from flue gases. The focus is on the scientific evaluation of the technologies, the analytical design of the fluid-dynamic processes and
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sound background in geophysical fluid dynamics, experience in numerical ocean or atmospheric modelling, and experience with numerical data analysis. Good scientific presentation, writing, and
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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) in the Research Group “Numerical Mathematics and Scientific ComputingNumerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting as soon as possible. The work tasks include
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: A qualifying university master’s degree in physics, engineering, meteorology, or a comparable field. Knowledge of fluid dynamics or nonlinear systems Experience in programming with Matlab or Python
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methods and their implementation, High-Performance Computing experience, methods of Uncertainty Quantification Offer – What you can look forward to: A dynamic, international team from various disciplines