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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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sequences for predicting disease progression and outcomes; Developing advanced generative models to simulate patient health trajectories, including disease progression, based on real-world data, enhancing
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optimizing simulation tools such as CalPhad to support experimental findings. Conducting in-depth metallographic analysis and establishing correlations between mechanical properties and microstructural
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surrogate models that approximate complex physical and biological systems traditionally modeled by PDEs or other computationally expensive simulations. By incorporating physical priors such as conservation
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stochastic control, numerical simulation, and machine learning with ecological and economic models, the project offers a unique vantage point on biodiversity as a financial asset. The postdoctoral researcher