211 data-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Oak Ridge National Laboratory
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objectives into robust pipelines, automate job orchestration and data movement, and optimize end-to-end workflow performance on large-scale Linux-based HPC environments and hybrid cloud/HPC platforms. Job
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records, information systems, and process improvement. This role focuses on modern records practices, including electronic records management systems, digitization initiatives, system integrations, and
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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workflows, and data infrastructure to accelerate discovery in Populus genomics and the characterization of Populus-associated microbial communities. The successful candidate will design and implement scalable
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Sensing Group (RSG). RSG is part of the Oak Ridge National Laboratory (ORNL) and seeks to hire qualified candidates to support photogrammetry and 3D computer vision research initiatives with emphasis
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
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development teams Basic Qualifications: A Bachelor's degree in Computer Science, Electrical or Computer Engineering, or other field relevant to the job duties. Competency in Python and C++ programming Ability
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data connectivity. This role ensures that all changes to control configurations, communications pathways, or system integrations are made in accordance with Industrial Control System / Operational
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Requisition Id 15882 Overview: We are seeking a Research Staff Scientist to advance our fundamental understanding in 2D materials, thin films, and hybrid nanostructures for quantum information