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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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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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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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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. The postdoc will work
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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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or more senior research scientist to conduct research on developing and using machine learned parameterizations developed from ocean-data assimilation increments. The goal is to develop
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or more senior research scientist to conduct research on developing and using machine learned parameterizations developed from ocean-data assimilation increments. The goal is to develop