2,438 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions in United States
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) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to numerical methods for kinetic equations. Mathematical topics of interest
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 1 day ago
NSF-Simons Foundation-funded National AI Institute for the Sky Position ID: SkAIInstitute-PDASSOCSKAI [#30861] Position Title: Position Type: Postdoctoral Position Location: Chicago, Illinois 60611
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starting on, or after, 7/01/2026. The position is to be offered jointly with the Center for Computational Astrophysics (CCA) at the Simons Foundation Flatiron Institute in New York City. The successful
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs. Experience
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oral communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
. The goal is to explore solutions that reduce computational demands while improving the reliability and applicability of these techniques for a broader range of scenarios. The developed methods will be