142 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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can lead computational and experimental activities using commercial codes to compare with experiments and also be able to develop new computational models and computer programs. The successful candidate
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such as federated learning. Provenance and Reproducibility Frameworks: Build systems that enable detailed provenance tracking, schema validation, and auditable workflows to ensure trustworthy and
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, industrial piping design, and utility systems. Preferred Qualifications: Professional Engineer (PE) licensure. Must demonstrate a strong dedication to customer service. Must have strong computer skills and
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. Excellent computer skills, including experience performing complex radiological protection calculations. Past or current service in an internship position with a DOE facility. Experience within the DOE
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, physics science or
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, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related
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, and other small machines Material handling such as moving heavy furniture and other objects Maintaining roadways including but not limited to patching asphalt Performing minor work in support of other
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for every task, and never stop learning. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command
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will focus on long-term annual capacity planning to meet program objectives as well as short-term machine operations planning based on resource availability and changing operational conditions. This