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Department: Engineering Technology Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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until September 30th , 2026. Ph.D. Degree in Robotics, Electrical and Computer Engineering, Computer Science, Data Science, Mechanical Engineering, Environmental Science, Engineering, Chemistry, or
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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Sign In Create Profile Research Assistant, Biomedical Engineering Tucson, AZ, United States | req23992 Apply Now Share Save Job Posted on: 9/24/2025 Back to Search Research Assistant, Biomedical
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engineers, leveraging cutting-edge resources; most notably the Frontier supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research
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Position Information Posting Number F00679P Position Title Post Doctoral Researcher Department Computer Science and Engineer Location Arlington Job Family Faculty Position Status Full-time Rank Non
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 28 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0149-NPP-NOV25-ARC-Engineering How to Apply All applications must be submitted in Zintellect Please visit the NASA
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expected to be: September 16, 2024 This position is expected to be for 12 months. Candidates should have at least an MS in Computer Science and Engineering or a related field and at least a summer of related
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
, Remote Sensing, Forestry/Ecology, Computer/Data Science, Electrical/Systems Engineering, Applied Math/Statistics, or a related field. Demonstrated experience analyzing satellite or airborne remote sensing