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skills and ability to quickly learn and master computer programs. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to complete detailed work
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analysis results, including regression results, and spatial analysis, including visualizations and maps; ● Run power calculations for randomized controlled trials; ● Assist in reviewing, synthesizing, and
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research at the intersection of artificial intelligence, power system engineering, and energy economics, with a focus on accelerating energy system transformation. The position will be housed in the Salata
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Apply Now How to Apply Please apply via this Submission Form by copying address into your browser: https://forms.gle/w6xrkTy6Dz6E6xk38 In addition, please add your application materials by
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research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S
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Fellow) and mid-career scholars/senior scholars (as Visiting Scholar). This is a full-time, immersion research appointment. Appointees are expected to deliver a lecture to the AKPIA community and submit
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experimental systems to examine signal origin, measurement artifacts, and depth-dependent compositional relationships in OPTIR with pristine and chemically modified control samples - Develop performance
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of independence and ability to work in a collaborative team environment. Additional Qualifications: • Strong hands-on experience with lasers, optics, and imaging/spectroscopy systems. • Experience with data
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through