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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design and install image-based and other sensing systems Develop data acquisition software for sensing systems Maintain and upgrade
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience
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application solutions. Research activities include the design of efficient image preprocessing pipelines, machine learning workflows using high performance computing techniques, and conducting post-processing
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and aspects related to safety and best practices. The candidate will make extensive use of state-of-the-art imaging, spectroscopy (Raman, electron microscopy, infrared, etc.) and scattering methods
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division document retention requirements. This position resides in the Systems Process and Assurance Section and will report to the Document Control and Records Management (DCRM) Group Leader. ESED serves
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managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network diagnostics
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pipelines for structured and unstructured data Experience with multimodal datasets (e.g., imaging, time-series, and process data) Experience with API-based data services, workflow automation, or integration
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research. Your work will focus on developing selective chelation strategies and applying these systems to targeted radionuclide therapy and cancer imaging. Research accomplishments will be disseminated
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, build, and sustain test configurations that support performance verification for prototype components and systems. A key aspect of this role is the installation, commissioning, and operation of high
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telemetry usable at scale. Drive the technical roadmap, release process, and architecture of the software. Multi-Institutional Project and Technical Leadership: Serve as ORNL's technical lead for cross