7 parallel-programming positions at CNRS in United States

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  • CNRS | United States | 12 days ago

    test and compare the predictions of this new configuration against existing theories (which model these structures in parallel) using synthetic case studies. These numerical tests will aim to clearly

  • CNRS | United States | 27 days ago

    modeling framework that combines physical glacier modeling with physics-informed machine learning using differentiable programming (Universal Differential Equations). Using the ODINN.il glacier model

  • CNRS | United States | 2 months ago

    seismotectonics, seismology, and seismic hazard, and at least 2 years of post-doctoral experience in these research areas. - Very strong computer programming skills (Python and/or MATLAB) are required. - The

  • CNRS | United States | about 1 month ago

    team on complex research projects. Ability to collaborate with interdisciplinary teams, organize one's work, and meet scientific publication deadlines. - Programming and Workflow Automation: Proficiency

  • CNRS | United States | about 1 month ago

    learning: CNNs, Transformers ​​- Proficiency in programming languages: Python, C++, CUDA (optional) - Use of image processing and AI libraries: OpenCV, PyTorch, TensorFlow * Domain-specific

  • CNRS | United States | about 1 month ago

    (experimental internship) 2. Basic understanding of magnetohydrodynamics 3. Knowledge of Python programming 4. Experience in signal and/or image processing _Personal qualities_: Independence, organisational

  • CNRS | United States | about 2 months ago

    , stability) - Knowledge of statistical tools, in particular interpretability methods for machine learning models and rare event statistics - Ability to implement a model in a programming language - Strong

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