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of renewal based on performance and availability of sponsored research funding. Key Responsibilities ● Lead research projects in embedded systems security under the supervision of the PI, including
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to education environments. One such innovation is Terracotta (https://terracotta.education ), a plugin to the learning management system that makes it easy to conduct experimental research studies in real course
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techniques (tokenization, embeddings) Familiarity with large-scale software and computing environments, including HPC workflows, is a plus Complete applications must include: Curriculum vitae A description of
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candidates for a Postdoctoral Fellow position. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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. The appointment is for one year with the possibility of renewal based on performance and availability of sponsored research funding. Key Responsibilities Lead research projects in embedded systems security under
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
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. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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. The position is renewable for a second year. Review of applications will begin on March 15, 2022 and will continue until the position is filled. The position is embedded in the funded multi-national project
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of a Masters degree in a technical field or extensive government or industry experience. Significant professional experience in cybersecurity, healthcare technology, embedded systems, or related
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI system will organize and synthesize disparate datasets