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Machine Learning Physics Graduate Student - Fall Internship
We have multiple openings for Graduate Student Interns in the Equation of State Materials Theory Group for graduate students to engage in practical research experience to further their educational goals. You will work on multidisciplinary projects, such as machine learned density functional theory (DFT), machine learned models for ab initio molecular dynamics, and use them to study the behavior of materials. These positions are in Physics Division.This appointment is a temporary internship assignment of 6 months (starting in Fall 2022 or early 2023) with the possibility of a 3-month extension.In this role, you willWork on machine learning models for different materials.Develop codes to test different models


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