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of research that PPPL supports are the following topics: Machine Learning for Digital Twins, Foundation Models, and surrogates (surrogate model building from our suite of fusion codes, new optimization
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following topics: Machine Learning for Digital Twins, Foundation Models, and surrogates (surrogate model building from our suite of fusion codes, new optimization techniques, and differentiable programming
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic
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bioinformatics research, the science of collecting and analyzing complex biological data such as genetic codes, and computational biology. NASA's Neurodiversity Network Summer High School Internship program High
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C.V. online. Upon request, candidates should be prepared to submit references, code and/or writing samples, and transcripts. The final candidate will be required to complete a background check. The work