110 deep-learning-"Computer-Vision-Center" positions at Oak Ridge National Laboratory
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center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics Cluster Management and Optimization: Oversee the installation, configuration, and management
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partnerships, or program management within the federal or defense sector. Deep understanding of AI/ML technologies, national security missions, and government acquisition processes. Proven track record
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learning conferences and journals. Be a part of a collaborative research environment which will provide the opportunity to perform cutting-edge research in deep learning and scientific computing. Deliver
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direction, mature technologies from lab to field, and integrate sensors, data pipelines, and analytics into operational environments. This position requires deep practical experience in power engineering and
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from plant genomics to phenomics with biological mechanisms embedded in deep neutral networks. GPTgp will allow task-specific training and transfer learning across reactions, pathways, biodesigns, and
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Specialist will ensure that any network or communications changes are fully evaluated and documented for their impact on equipment operations and system behavior before implementation. By combining deep
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engineering, architecture, architectural engineering, or related field completed within the last five years. Experience in building energy modeling and analysis. Deep understanding of building thermal physics
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rotor and suspension behavior across design and test environments. This role requires both deep technical expertise and strategic leadership in extending modeling capabilities through the modification
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(e.g., deep learning, implicit neural representations, diffusion models) for CT reconstruction, enhancement, and defect detection. Advance algorithms for multi-modal tomography (X-ray, neutron, electron
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. Candidates should possess deep knowledge of Linux systems, cluster management tools (e.g., SLURM, PBS), parallel file systems (e.g., Lustre, GPFS), and high-performance interconnects (e.g., InfiniBand