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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from
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with various methods. By integrating the findings with archaeological knowledge, the goal is to elucidate bacterial genetic evolution that was shaped by human influence and make predictions to the future
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