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Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
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. Skills: • Strong programming skills (e.g., Python, MATLAB, or similar). • Proficiency in numerical methods for coupled differential equation systems. • Excellent written and verbal communication skills
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. Specific Requirements Essential skills: • Experience in programming languages commonly used in scientific computing, such as Python and C/C++ • Experience with numerical methods, signal processing
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail
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computational astrophysics, including experience in numerical methods and machine learning. Research experience at the postdoctoral level, with an established record of publications and impact appropriate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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%). You will work on the extension of the DUNE-FEM package to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
orbital dynamics using analytic and numerical methods, (2) planet formation theory, (3) exoplanet architectures and demographics using statistical methods, and (4) planetary interior/atmosphere modeling