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that is potentially renewable on an annual basis contingent upon satisfactory performance and availability of funding. The mission of CHaRMNET is to develop novel numerical methods that allow us to
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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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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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positions, directly supported by TEMPEST, a new National Science Foundation Science and Technology Center, led by Prof. Michael S. Murillo at MSU: https://tempest-stc.msu.edu The successful candidates will
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magnetohydrodynamic flows; and autonomous distributed systems. We especially welcome candidates whose work integrates physics-based modeling with data-driven methods, develops new algorithms for complex nonlinear