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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
); and propagation of physics-traceable soil moisture uncertainty into precipitation estimates. Machine learning approaches are welcome as tools within this framework — for example, learning the space–time
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and meteorological modeling. Experience running or maintaining operational/automated forecast systems. Experience applying machine learning methods to air quality or geophysical data (e.g., forecast
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae (CV) Statement of research interests Names of three professional
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Position Description Be You. Be Bold. Choose Duke. Postdoctoral Associate Human-AI Research Pipeline (HARP) | Duke University Department/Unit: Social Science Research Institute Anticipated Start
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Position Description Postdoctoral Research Associate, Boston University, Division of Materials Science & Engineering and Division of Systems Engineering Position Type: Full-Time, 1-Year Initial
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Posting Details Posting Details Job Title Postdoctoral Teaching Scholar - School of Information Science Requisition Number DU15126 Department Name 8M300:Center for Instructional Communication Work
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Pharmacy - Instruction Proposed Minimum Salary Commensurate Job Location College Station, Texas
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avenues of research rather than a required work plan. They may be pursued individually or in combination, and we welcome other creative and strategic approaches. Statistical or machine-learning approaches
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop