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for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and
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, cloud-based data infrastructure that supports national research efforts. In this role, you’ll work with a dynamic team to build data pipelines, optimise databases, and manage diverse terrestrial ecosystem
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 9 days ago
) statistical analysis of rainfall extreme characteristics (types, frequency and intensity), and associated changes in clouds, moisture and the large scale circulation, (2) analysis and modeling of extreme
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
to better understand aerosol, cloud, and precipitation processes and their interaction through a constellation of instruments in low earth orbit (aos.gsfc.nasa.gov) that includes a 3-channel Raman LIDAR and a
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(programming, database, cloud infrastructure, and project management/development classes preferred, with a mix of face-to-face and online courses, as needed). The position reports to the Chair of the Department
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[Django, DjangoORM, Django Ninja API, FastAPI ] SQL: PostGresQL, MySQL, MS SQL API development Front-end technologies, such as React, JavaScript, HTML, and CSS Cloud Integration - DigitalOcean, AWS, Azure
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challenges. The Senior Solutions Architect acts as a bridge between business needs and technical capabilities. The ideal candidate has a deep understanding of Oracle Cloud, Concur and other Procure to Pay
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– including development and implementation functions Knowledge and understanding of cloud-based environments and ability to contextualise to risk management and disaster recovery. Role Requirements: As this is
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selection process for an indefinite employment contract within the framework of a Line of Research Research Line: Computer architecture and systems software: mobile, high-performance, cloud, and exascale
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data handling in education, workforce, health, or government contexts (FERPA, HIPAA, IRB). • Experience with ETL pipelines, data lakes/warehouses, cloud computing (e.g., AWS, Azure, GCP), and API