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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific vision
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finite element methods, leveraging existing and actively developed libraries in AFRL related to crack growth. 4. Employ the hybrid FEM-ML framework to demonstrate a machine-learned crack model based
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