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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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) references, (4) publications as appropriate, and (5) the interview process. 1. A Ph.D. in physics, materials science or a related field by date of appointment. 2. Research experience in density
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their appointment to the program. We strongly encourage applicants to identify a research mentor prior to applying (see links above), and the program directors can assist in this process. We have 3 open positions
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of services and programs that meet professional and market-driven expectations. Preferred Qualifications Experience with simulations of battery materials or separation processes, as evidenced by application