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or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2 years of experience. Experience architecting and implementing complex distributed systems and willingness to learn
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to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking Special Requirements: Security, Credentialing, and Eligibility Requirements: Export
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5 years professional experience is required for consideration
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collaborate with other groups and divisions to support multidisciplinary R&D activities while learning established ORNL policies, procedures, safety practices, and work methods. Deliver ORNL mission outcomes by
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in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate
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-impact problems and to shape the future of intelligent manufacturing. Major Duties/Responsibilities: Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid