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moons, as well as in resource-limited mission architectures, including aerial platforms like helicopters on Mars. As planetary exploration increasingly targets challenging terrains and subsurface
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assessments and rapid experimentation. DA-TC conducts research in future computing architectures, application and evaluation of analytic solutions, and assessments of emerging architecture and analytic
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assessments and rapid experimentation. DA-TC conducts research in future computing architectures, application and evaluation of analytic solutions, and assessments of emerging architecture and analytic
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: Hannah Alpert hannah.s.alpert@nasa.gov (650) 448-4785 Questions about this opportunity? Please email npp@orau.org Qualifications The successful applicant should have a PhD in a science or engineering
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hierarchical, contextual knowledge for complex multi-modal scene understanding Neuro-symbolic architectures for representation, learning, reasoning and inference Biologically-inspired metacognitive AI paradigms
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candidate will have received a PhD in Biology (General), Cellular and Molecular Biology, Infectious Diseases and Zoonoses, Microbiology, Public Health, Virology, or similar field within the past five years
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. Qualifications The qualified candidate will have completed a PhD from an accredited institution in bioengineering, biomedical engineering, immunology, cell / molecular biology, physiology, or a related field
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one another; and delivering world-class science, technology and land management. Research Project: The fellow will contribute their PhD-level social science research skills to understand how project
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program and complete the degree prior to the appointment start date. The ideal candidate would have some, but not necessarily all, of the following: PhD. in Materials Science, Chemical Engineering
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(MPH, MS, PhD). Highly competitive applicants will have experience or skills in the following: U.S. Citizenship is required, must be able to pass a background investigation. SAS 9.4 experience is desired