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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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, and quality program requirements. Maintain a strong commitment to the implementation and perpetuation of ORNL core values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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. The department has a growing undergraduate student population, an MS in biomedical engineering program and MS in mechanical engineering program. Job Duties The postdoctoral scholar is responsible
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engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and
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linear, mixed-integer, and stochastic programming. Work with programming languages such as Python, Julia, or C++ to build robust analytical tools and perform large-scale data analysis. Collaborate with
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, optical or electrical engineering, or a related discipline. Expertise in optical fiber communications and sensing. Proficiency in Python, C/C++, or other language for data analysis or instrumentation
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offers a postdoctoral research training program. The department supports an array of faculty directed research programs of which many are supported by extramural grants and/or contracts. The department
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at technical conferences. Excellent communication skills including verbal, presentation, and writing skills are required to enable effective interaction with technical peers and program managers. Preferred
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challenges of the future grid. PSEC supports the science and technology goals of the U.S. Department of Energy, NREL, and industry partners toward a sustainable energy future. We work with the electricity
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division