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Field
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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critical for predicting future changes to fisheries production and deep ocean carbon storage as the ocean warms. Biogeochemical-ecosystem models are currently used for this purpose but have difficulties: in
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
profiling (BGC-Argo) floats (https://www.nature.com/articles/s41586-021-03805-8). The NASA Ocean Biogeochemical Model (NOBM) has recently been coupled to the S2S-V3 system used for seasonal climatological
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Establish and validate a regional coupled ocean modeling framework at very
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. The Planetary Science Department at MPS invites applications for the position of a Postdoctoral researcher (f/m/d) in Experimental
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 27 days ago
, Dynamics and process attribution in a seamless model from coastal shelves to the open ocean. The ERC group, led by Prof. Dr. Judith Hauck, is located in the Marine Biogeosciences section at the Alfred
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Posting Description POSTDOCTORAL ASSOCIATE, Varon Lab, will conduct research in satellite remote sensing of atmospheric and ocean composition. The position focuses on developing and evaluating novel
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of the ocean models. This analysis is fundamental to understanding and ultimately enhancing the skill of coupled ocean-atmosphere models used for tropical cyclone and hurricane prediction. The incumbent is
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relevant for tactical navigation. IceBox addresses this challenge by developing machine-learning-based forecasting models capable of predicting sea-ice drift and deformation at hundred-meter scales using
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PalaeoGradPhan. Both projects focus on the relationship between ocean circulation and surface ocean properties, and use numerical models to understand what we can and cannot infer from imperfect observational data