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and spoken English. Knowledge of Czech is not required. Experience in one or more of the following areas would be an advantage: gravitational-wave modelling; numerical relativity; cosmological data
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computational mathematics. Areas of interest include, but are not limited to, numerical analysis and scientific computing; differential equations and mathematical modeling; inverse problems and control; and
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mathematics. Areas of interest include, but are not limited to, numerical analysis and scientific computing; differential equations and mathematical modeling; inverse problems and control; and stochastic
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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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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave and antenna components using
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will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can
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on developing AI algorithms (especially for training) aimed at post-digital hardware. Specifically, the project targets numerical and local learning algorithms beyond backpropagation. Key Responsibilities
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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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addition, the Research Engineer will incorporate coastal wave dynamics and sediment transport processes into numerical simulations, ensuring consistency between laboratory observations and model outputs.