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this role, the postdoctoral researcher will focus on developing foundation models for fluid and plasma dynamics, including aerodynamics, turbulence, and edge/scrape-off-layer transport. This will involve
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turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL
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experience Strong background in atmospheric dynamics, turbulence, land–atmosphere interactions, cloud physics, or precipitation processes Experience working with large observational or model datasets
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pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon thereafter as possible. The position is for one year, with the possibility of renewal for two
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research spans the following broad areas: Complex systems: Nonlinear dynamics and Data assimilation, Statistical physics, Fluid dynamics and turbulence, Condensed matter physics, Biological Physics; Space
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investigation of atmospheric acoustics as well as hyperlocal phenomena in the atmospheric boundary layer (wind, temperature, and turbulence dynamics). This inquiry will include development of new experimental
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include: Conducting high-resolution model simulations of convective storms Contributing to model development using AI/ML approaches in areas such as clouds, turbulence, land–atmosphere interactions, and
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models to examine flow, turbulence, sediment transport, and/or biological agents that occur on hillslopes, in concentrated flows, and within and near rivers. The postdoctoral associate will employ state
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aerodynamic challenges. The growth of Urban Air Mobility creates new demands for understanding wind patterns, turbulence and UAM downwash in densely built areas. In this position, you will develop and apply
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environments present complex aerodynamic challenges. The growth of Urban Air Mobility creates new demands for understanding wind patterns, turbulence and UAM downwash in densely built areas. In this position