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data initiatives, enabling secure, scalable, and standards-based data integration to accelerate scientific discovery and collaboration. The Learning Systems Group at the Oak Ridge National Laboratory
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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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challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing
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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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the following requirements: Contribute to and progressively lead Artificial Intelligence (AI) & Machine Learning (ML) engineering support on an ongoing basis as evidenced by, for example, innovative artifacts
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learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures. Major Duties/Responsibilities: Initiate, lead and perform
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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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Directorate. In this role, you will lead the development and application of physics-informed data science and machine learning approaches to support nuclear nonproliferation missions. The successful candidate
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of complex systems in support of the scientific mission of the Laboratory and of the Department of Energy. The role expects collaborations with scientists in interdisciplinary research projects within the Oak
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and distribute monthly performance reports. Team Collaboration: Provide backup support to the division office and collaborate with other administrative staff as needed. Special Projects: Participate in