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experimental validation of high-performance polymer composite systems. This position resides in the Composites Innovation Group in the Manufacturing Science Division, Energy Science and Technology Directorate
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production process development for delivering stable isotopes for medical, industrial, and DOE mission critical applications. As part of our team, you will work closely with a focused group of scientists
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
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, communication, and results will be welcomed and encouraged, and you’ll have the autonomy to propose and lead initiatives that go beyond traditional Scrum Master responsibilities. This may include process
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
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: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
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of advanced materials, thermoelectrics, functional oxides and weakly bonded materials. The incumbent will have opportunities to develop research methodologies as well as collaborate with experimental groups
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seeking postdoctoral candidates to investigate the mechanical and thermophysical behavior of irradiated metals and ceramics using advanced experimental and computational methods. The selected candidates
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as