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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 26 days ago
curly fibers. Additionally, in many cases, the underlying model for the simulation is not systematically tested for its validity. To bring a breakthrough on the realistic simulation of frictional fibers
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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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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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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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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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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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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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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