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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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Mathjobs.org | about 1 month ago
applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior
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applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior
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and applied mathematics; see https://artsci.usu.edu/math-stats/research/. Candidates should also be able to partner broadly with researchers across campus, such as those in physics, chemistry
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submitted electronically through MathJobs. Applicants must include the following: cover letter, curriculum vitae, a research statement, a teaching statement, and four letters of recommendation, at
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all supporting materials must be submitted electronically through MathJobs. Applicants must include the following: * cover letter, * curriculum vitae, * research statement - particularly addressing the
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Mathjobs.org | about 1 month ago
and the topics of the position. Applications and all supporting materials must be submitted electronically through MathJobs. About the Department: The School of Mathematics, located in the heart of the
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and the topics of the position. Applications and all supporting materials must be submitted electronically through MathJobs. About the Department: The School of Mathematics, located in the heart of the