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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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is Computing Continuum (Cloud To Edge), which addresses activities related to the orchestration of distributed resources in heterogeneous environments (HPC/Cloud/EDGE) with a focus on the use of energy
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equivalency formula. Preferred Qualifications PhD in computer science, engineering, a quantitative discipline, or a domain science with strong computational components. Experience with AI/ML, vision, NLP
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Clouds, in particular the frozen phase, bring about the largest challenge and uncertainties
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investigators in data analysis best practices Ensure data management, documentation, and reproducibility standards are maintained Preferred Qualifications PhD in Bioinformatics, Computational Biology, Biology
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-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms. Develop methods for efficient deployment of AI models on cloud and edge devices
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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, computational biologists, and experimental partners in both academia and industry to advance translational projects towards partnerships, or venture creation. Your profile PhD with 5+ years of postdoctoral and/or
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and Geographic Information Systems (GIS) - Computer science and informatics, including HPC, cloud computing, and data architecture Point of Contact Mikeala Eligibility Requirements Degree: Doctoral
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collaborative development workflows Preferred Qualifications and Skills Master's degree or PhD in Computer Science, Engineering, Data Science, Bioinformatics, or related field. Experience in healthcare or life