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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Bryn Athyn , Pennsylvania

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Dynamic Compression Sector

Lemont, Illinois

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

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Lawrence Livermore National Laboratory

Livermore, California

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Livermore, California

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Faculty Position at the Interface of Physics and Machine Learning
The Department of Physics at the University of Maryland, College Park invites applications for a tenure-track faculty position at the interface of physics and machine learning. While we anticipate hiring at the Assistant Professor level, a more senior level position could be considered for exceptional candidates. Combining machine learning (ML) with physics is a rapidly growing area of research, which has received a tremendous amount of attention in both the physics and ML communities. While much work in this area has focused on applying ML tools to help solve problems in physics, the primary focus of our search is research that leverages and extends methods from physics (e.g., from nonlinear dynamics and statistical physics) to gain a better understanding of how and why ML methods work


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The AAPT Career Center has listings for the latest lecturer, instructor, assistant, associate, and full professor teaching positions, plus scientist jobs in specialized disciplines like theoretical physics, astronomy, condensed matter, materials, applied physics, astrophysics, optics and lasers, computational physics, plasma physics, and others! Find a job here as a high school physics teacher, community college teacher, physics faculty member at a two or four-year college or university, postdoctoral appointee, fellow, or researcher.