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, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions. Participate in the development of multi-physics simulations with machine learning (ML
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research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions
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this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security. The successful candidate
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/Computer Engineering, or a closely related discipline. Minimum of 10–12 years of relevant experience (or equivalent) in one or more of the following: geospatial science/engineering, HPC/data center
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awareness and understanding of open relevant research conducted throughout the DOE complex and the world. Basic Requirements: PhD in Mechanical Engineering, Electrical or Computer Engineering, or related
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monitoring in manufacturing environment Develop modular, extensible workflows for data processing Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal
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or PhD in Computer Science, Computer Engineering, Cybersecurity. Experience architecting and implementing complex distributed systems and willingness to learn Experience in cluster computing and scaling
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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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-integrity . Basic Qualifications: PhD degree in Mechanical Engineering, physics, or related field, or a MS. Degree and two plus years of post-graduate experience. Applied experience in performing dynamic
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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