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Weather Center and located in Norman Oklahoma (https://www.ou.edu/nwc ). A major activity at NSSL over the past decade has been the research, development, and evaluation of storm-scale ensemble Numerical
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promising results in building prediction models, they are typically data-centric, lack context, and work best for specific feature types. Interpretability is the ability of an ML model to identify the causal
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that integrate structural predictions and neutron scattering data using ensembles instead of current single structure implementations. The integration of simulation and experiment will yield methods that can be
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personalizable computer replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its future ability to respond to diseases. Why
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that predict lifespan outcomes. Guided by these insights, we will use state-of-the-art genome editing in Drosophila to modulate mitochondrial function with spatiotemporal precision, targeting specific tissues
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, such as selective labeling and contrast variation. Our second goal is to improve the accuracy with which solution scattering data of proteins and oligonucleotides can be predicted from the atomic