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Field
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degree in engineering, computer or information sciences, physics, math, or related technical area. Demonstrated ability in scientific algorithm code implementation and/or scientific modeling and data
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Informatics (Computational), Data Science or a closely related field. Demonstrated expertise in Python and SQL for data analysis, algorithm development, and visualization. Experience with large-scale
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for entanglement detection and classification. The algorithms are supported by affordable, spatial surface and subsea sensing and a low-power edge computing to collect and compress datasets at-sea, allowing the
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deploying all aspects of computer systems related to remote sensing and imaging platforms. This may include writing and testing software in high level languages; writing and testing logic in hardware
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours 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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requested). Essential Functions Data management Data analysis, specific in machine learning algorithms/models Required Qualifications Minimum of a Master's Degree in Computing Minimum of less than 1 year of
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Robotics, engineering, Computer Science, math or other applied sciences. Demonstrated ability related to the development and application of robotics, autonomy or machine learning algorithms. Demonstrated
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-focused hardware accelerators, FPGAs, optimized low-level algorithms, and experimental compilers. Duties: Execute on tasking given to support ongoing projects within the Advanced Computing Lab, which could
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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
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/Administrative Internal Number: 495410 Department: Computer Science Salary: Commensurate with experience Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization