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of the system is still insufficiently understood. This project investigates the underlying fluid-structure interaction mechanisms and develops advanced numerical methods for high-fidelity simulation
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using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic systems. Experience supervising Bachelor’s or Master’s students. Experience in
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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in materials theory. The Division of materials theory offers world-class research in solid-state theory, using both numerical and analytical methods. The research is focused on magnetism, electronic
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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numerical simulations to understand molecular mechanisms of epigenetic regulation by the Polycomb and Trithorax group proteins. Project description Chromosomal rearrangements of the human MLL1 gene
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researcher and to create the opportunity of further development. Detailed description of the work duties, such as: Develop and implement GPU-accelerated thermal runaway models and numerical methods in OpenFOAM
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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matter, matter at ultra-high pressure, diagrammatic Monte-Carlo , topological matter. We are interested in analytical and numerical approaches to fermionic and bosonic states. Examples of collaborative