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, biogeochemical models, and machine learning. The ideal candidate will have a background in ocean modeling, but candidates with the necessary background in ocean biogeochemistry and/or geophysical fluid dynamics
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c) experience, or demonstrated interest, in machine learning. Candidates must have a Ph.D. and preferably in oceanography, geophysical fluid dynamics, computer science, or a closely related field
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, Revisiting wind wave growth with fully-coupled direct numerical simulations, J. Fluid Mech. 951 [2022] A18); and/or iii) small-scale wave dynamics in the context of remote sensing and the effect of waves and
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. Larry Horowitz (https://www.gfdl.noaa.gov/larry-horowitz-homepage/) and Vaishali Naik (https://www.gfdl.noaa.gov/vaishali-naik-s-homepage/) at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL
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member of the Program in Atmospheric and Oceanic Sciences, a joint program between the Department of Geosciences and the NOAA Geophysical Fluid Dynamics Laboratory. Applicants should submit a curriculum
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, Monte Carlo simulations, statistical mechanics, fluid mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins and nucleic acids), coarse-grain and
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of neoclassical and turbulent transport, finite orbit effects, coupling with scrape-off layer and divertor physics. The candidate will join the PPPL team stationed at DIII-D, a dynamic group of scientists
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direction, receive constructive feedback; to work in a dynamic and collaborative environment; and to tolerate ambiguity in a fluid working process ⢠Prior undergraduate teaching and/or advising experience â
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-college and cross-campus team • Ability to take direction, receive constructive feedback; to work in a dynamic and collaborative environment; and to tolerate ambiguity in a fluid working process • Prior