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Responsibilities The selected candidate will contribute to advanced research and development tasks, including: Design and deployment of Edge-Cloud infrastructures for distributed AI systems ensuring low-latency
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. Description: The Postdoctoral Fellow will work with a team of world-class collaborators on the JWST Cycle 1 GO Program 2512 (https://www.stsci.edu/jwst/science-execution/program-information.html?id=2512
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sources, both on-premises or in the cloud. Ensures the seamless and secure transfer of data, optimizing for performance, integration and reliability to enable subsequent data transformation and modeling
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EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites | Darmstadt, Hessen | Germany | 3 months ago
Infrastructure? No Offer Description Remote Sensing Scientist - Optical Cloud Imaging EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites Darmstadt, Germany The Remote Sensing and
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on Multi-Agent Agentic AI architectures. Develop AI models and AI-based applications, tools, and software components collaboratively. Build, maintain and operate a private 6G cloud testbed primarily based
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
downstream tasks such as retrieving aerosol information in the presence of clouds, and utilizing multi-pixel spatial and temporal approaches Field of Science: Earth Science Advisors: Patricia Castellanos
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 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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, retrieve and disseminate technical information Strong computer skills in Microsoft Outlook, Microsoft Office (Word, Excel, PowerPoint), virtual meeting software (Microsoft Teams, Zoom, WebEx), and cloud
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experience utilizing Photoshop and/or the Adobe Creative Cloud suite of products for design purposes. The successful candidate must be a self-starter with the ability to take initiative and to hit the ground
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, Cloud Service Deployment). Desired: Experience with High-Performance Computing or GPU programming (CUDA). Specialized knowledge of Neural Rendering (NeRF/3DGS) or Satellite Photogrammetry. Demonstrated