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conduct research on developing and using machine learned parameterizations for mixing in the ocean surface boundary layer. Our previous work has demonstrated the utility of using neural networks to improve
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conduct research on developing and using machine learned parameterizations for mixing in the ocean surface boundary layer. Our previous work has demonstrated the utility of using neural networks to improve
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keeping with this mission, the role of the Head Coach of Men's Ice Hockey is to provide a quality varsity program which will challenge and develop the physical, mental and personal abilities of student
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Environmental Institute at Princeton University is seeking a Postdoctoral associate or more senior researcher(s) in the area of ocean circulation and biogeochemistry modeling to work with Professor Laure
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The High Meadows Environmental Institute at Princeton University is seeking a Postdoctoral associate or more senior researcher(s) in the area of ocean circulation and biogeochemistry modeling
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for research focused on coupled high-resolution atmosphere-wave-ocean models and their implementation for simulating coastal storm events and impacts. The scientists will collaborate with GFDL researchers
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area of ocean and benthic biogeochemical modeling and marine carbon dioxide removal (mCDR). The seafloor serves as the only long-term storage of oceanic carbon, and consideration of the exchanges between
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conduct research on the use of machine learning in ocean climate models. The goal is to demonstrate the successful use of machine learned parameterizations of unresolved processes that will reduce biases in
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. Of particular interest are scholars with expertise and interests related to air and water sustainability, biodiversity, energy, environmental justice, food system change, global health, global warming, and
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ecohydrology including several long-term interdisciplinary projects focused on climate and energy, biodiversity, water and the environment, urban sustainability, and climate and disease. Applicants should