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multi-physic modelling approach coupling mechanical and electrochemical simulations, it is proposed to bring a novel unified numerical framework in this thesis (i) to simulate the damage in
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should have experience with mathematical modelling using ODEs and/or DDEs, parameter estimation methods and HPC simulations. The applicant should be familiar with dynamical systems theory, network analysis
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machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Familiarity with multi-domain simulation tools (e.g., Matlab, Simulink, Octave) and modeling techniques Experience with AI, ML methods of time
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of electronic structure and quantum operators. These surrogate models will be combined with mixed quantum-classical dynamics simulation approaches to perform chemical dynamics simulations at an unprecedented
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projects. The position is responsible for conducting sponsored research in transportation safety, developing material and computer simulation models, developing vehicle and roadside hardware models, and
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or graduate student. ● Experience working with high school students and faculty. ● Experience with Model UN or National Museum of American Diplomacy simulations. ● Supervisory and/or
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modelling results. Ocean Engineering, 297, 117088. https://doi.org/10.1016/j.oceaneng.2024.117088 Soomere, T., 2023. Numerical simulations of wave climate in the Baltic Sea: a review. Oceanologia, 65(1), 117
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of Quantum Chromodynamics in scenarios characterized by multiple energy scales. The expected results will help refine phenomenological models, improve Monte Carlo simulations, and contribute to a better
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individual will implement, simulate and analyze models of epileptic source localization from EEG signals. Collaborate with clinicians to obtain and analyze imaging, EEG, and outcome data. Prepare results
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- research experience in the evaluation of global wave reanalysis and integration of topographic and bathymetric datasets, as well as experience in the implementation of XBeach and SWaN models. Preferential