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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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leverage these findings for bioengineering applications. Candidates completing (i.e., with a confirmed defense/viva date) or holding a PhD in chemical engineering, physics, bioengineering, chemistry, or a
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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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