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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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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job This position will be in charge of developing mathematical models to simulate neutrino interactions in the Liquid Argon Time
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exoskeletons that regulate muscle–tendon forces during locomotion. This includes: Developing and calibrating real-time musculoskeletal ankle models (using CEINMS-RT), with emphasis on the Achilles tendon
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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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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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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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collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal
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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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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