167 deep-learning-phd-"Computer-Vision-Center" positions at Oak Ridge National Laboratory
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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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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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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in Physics, Nuclear
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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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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analysis, as well as propose and collaboratively develop new avenues of application for these techniques. Other areas of focus include applications of machine learning and artificial intelligence tools
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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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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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency