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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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closely related fields. Experience in some of the following topics: isotope analysis, mass spectrometry, laser spectroscopy, laser cooling and trapping of neutral atoms, non-linear optics, and ultra-high
Searches related to linear algebra
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