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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month 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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Description To design, build, and maintain hybrid scientific data platforms, focusing on backend systems that support both cloud-based and on-premise infrastructures. The role enables secure, human-centred
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papers in peer-reviewed Journals are key to the role. You will be responsible for: Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend
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, including: Cloud infrastructure (AWS/Azure/GCP), Backend systems and APIs for battery telemetry ingestion and analytics, Frontend dashboards for real-time monitoring, diagnostics, and fleet intelligence
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. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC
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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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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 ICT Services
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, Open RAN, 6G/NextG); Hands-on experience with cellular network platforms (e.g., O-RAN, srsRAN, OpenAirInterface, Aether/SD-RAN), edge/cloud computing platforms (e.g., Kubernetes, OpenStack), SDN, and/or
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. The appointment will be for an initial fixed-term
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analytics-driven research questions that lead to high quality publications. Experience working in interdisciplinary teams spanning clinical, wet-lab, and computational research. Familiarity with cloud