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, version control, and development practices. • Experience with high-performance computing or research infrastructure. • Familiarity with reproducible research, FAIR and CARE data principles, and
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, variational inference, transport methods, etc.). • Experience with inverse problems or uncertainty quantification. • Experience with scientific machine learning. • Experience with high-performance
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