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for the facility. Respond to fault conditions for NSTX-U operations and safety envelopes. Assure proper conduct of operations communications across the operating team. Education and Experience: Bachelor’s degree in
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/correcting systematic model error, and assimilation of surface observations For these research topics, the successful applicants will work with members of the GFDL FV3 Team, using the FV3-based GFDL System
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, including quantum information theory, quantum algorithms, quantum error correction, quantum systems theory, and fundamental quantum science. Candidates should have a commitment to teaching and a demonstrated
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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/correcting systematic model error, and assimilation of surface observations For these research topics, the successful applicants will work with members of the GFDL FV3 Team, using the FV3-based GFDL System
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation
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quantum science and engineering. Candidates in quantum theory are encouraged to apply, including quantum information theory, quantum algorithms, quantum error correction, quantum systems theory, and
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systems; 3) data assimilation (DA) and ensemble forecast, e.g. representing model uncertainty, mitigating/correcting systematic model error, and assimilation of surface observations For these research