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of experimental design, uncertainty quantification, scientific machine learning, or digital twin methodologies Experience collaborating across national laboratories, academia, or industry in multidisciplinary teams
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various workflow processes. Collaborate with colleagues and internal and external groups to design, test, implement, and maintain system enhancements and services while working within established policies
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that ensures the safe and compliant execution of the research mission. Collaborate with operations, ESH&Q team, and scientists to gather information and understand workflows at SNS and HFIR, Write
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, and regulatory expectations into clear, accurate, and executable documentation. Working collaboratively with scientists, engineers, operators, quality professionals, maintenance personnel, and other
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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ability and willingness to acquire new knowledge and learn new skills. Ability to proactively work independently and as a member of a team. Excellent interpersonal skills, outstanding written and oral
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and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models
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the ability to learn independently. Excellent verbal communication skills. Desire and ability to work collaboratively in a dynamic team environment. At least three of the following: Mechanical design
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Developer who can effectively manage the following job responsibilities: Develop and maintain web and/or desktop applications, primarily using a Microsoft technology stack. Collaborate on efforts to analyze
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Dr. Jeffrey Warren and Dr. Lianhong Gu and collaborate with researchers in the ORNL Terrestrial Ecosystem Science (TES) Scientific Focus Area (SFA) to integrate experimental measurements and trait