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© All Rights Reserved. ApplyBlast.com
LLNL
This postdoctoral research position focuses on atomistic and multiscale modeling to optimize metal joining in alloyed systems through an integrated simulation-experiment workflow. The role involves developing machine-learning interatomic potentials for large-scale atomistic modeling and collaborating with mesoscale modeling and experimental teams to analyze interfacial properties. The position is based in the Materials Dynamics and Kinetics group within the Materials Science Division at Lawrence Livermore National Laboratory.
Headquarters
Livermore, California, United States
Company Size
5001-10000 employees
Founded
1952
Lawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy national laboratory in Livermore, California, that applies advanced science, engineering, and technology to solve complex national security and societal challenges. Its work spans nuclear deterrence and stockpile stewardship, nonproliferation and homeland security, high-performance computing and AI, fusion energy (including the National Ignition Facility), and research in materials, biosciences, and climate. LLNL partners with government agencies, industry, and academia to translate research into practical solutions, drive technology commercialization, and develop the next generation of scientists and engineers.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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