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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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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
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disadvantages in the application due to false degrees, research achievements, errors, and incomplete documents. We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please see
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
error modeling and encounter clustering (Sentry) Field of Science: Planetary Science Advisors: Steven Chesley steve.chesley@jpl.nasa.gov (818) 354-9615 Applications with citizens from Designated Countries
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum
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applying only the amounts needed at the right time, thus avoiding nutrient leaching, soil degradation and, above all, water wastage. In contrast to in situ measurements, remote sensing data provide frequent
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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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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to allow adequate time to make any corrections to errors found in the application during the submission process by the due date. AIDS Application Due Date(s) Standard AIDS dates apply, with the first due