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dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid dynamics, turbulence
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computational fluid dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid
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condensed matter physics. The postdoc will be co-supervised by Dr. Qunfei Zhou at the University of Kansas (KU) and Dr. Kirill Belashchenko at the University of Nebraska-Lincoln (UNL). Starting Date: Spring
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31108BR Kansas Geological Survey Position Overview The postdoc will synthesize data from public health and hydrologic databases to build an understanding of how drinking water source (groundwater vs