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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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Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior scientist to conduct research on the use of machine learning in ocean climate models. The goal is to demonstrate the successful use of machine
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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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agencies and other team members on developing reactor systems for water and mineral recovery from brine and seawater. Desired candidates will have the following experience: *Ph.D. in civil and
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experimental research in the broad area of ion separations. Responsibilities may include characterization of water uptake, ion sorption, and/or ion transport in polymer membranes and sorbents, synthesis
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physical and data-driven approaches. The focus will be on the marginal ice zone in polar regions, where the surface abruptly transitions between colder ice and warmer water over the fractured sea ice surface
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physical and data-driven approaches. The focus will be on the marginal ice zone in polar regions, where the surface abruptly transitions between colder ice and warmer water over the fractured sea ice surface
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storage. The researcher will carry out experimental research in the broad area of ion separations. Responsibilities may include characterization of water uptake, ion sorption, and/or ion transport in