180 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" 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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. Collaborate with multidisciplinary engineering teams to integrate control algorithms, sensor feedback, and human-machine interfaces. Conduct risk assessments and safety analyses for manipulator designs
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. Collaborate with multidisciplinary engineering teams to integrate control algorithms, sensor feedback, and human-machine interfaces. Conduct risk assessments and safety analyses for manipulator designs
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. Stakeholder and External Engagement Serve as a resource to internal and external stakeholders, communicating best practices, lessons learned, and challenges related to operations. Participate in national and
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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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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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. 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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technical environment. Strong programming skills in production controls, full-stack, or related experience. Proficiency in relational databases and data governance. Proficiency in Machine Learning techniques
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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