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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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responsible for conducting highly specialized and technical research. The individual will be primarily engaged in the use of computational methods for compound design, including but not limited to molecular
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synchrotron X-Ray methods. The Postdoctoral Associate will develop new methods for measurements, data analysis and modeling for Modulation Excitation Spectroscopy and will travel to US and foreign synchrotrons
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submitted online and by September 14, 2025 for fullest consideration. We do not accept application materials by any other method. Letters of reference should be submitted by the priority deadline of September
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criteria are the quality of the applicant's research on the linkages between finance and macroeconomics broadly. The candidate's work may use empirical or theoretical methods to address important policy
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the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods social science and economic research at these proposed agrivoltaics solar
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 11 hours ago
, particularly in analyzing natural radio emissions (e.g., Jovian DAM or planetary magnetospheric emissions) Proficiency in time-series analysis, spectral estimation, and autocorrelation methods applied
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on highly technical projects • Strong computer, statistical, and technical skills Preferred Qualifications • Experience in intervention development, training, or fidelity monitoring preferred
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online and by November 2, 2025 for fullest consideration. We do not accept application materials by any other method. Letters of reference should be submitted by the priority deadline of November 9, 2025
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, and generalized additive models would be a bonus. Skilled in descriptive analysis and applying modern statistical methods in modeling of data. Technical writing and computer programming skills. Strong