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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and
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for Nymphalinae butterflies, apply recent methods to predict interactions, and test these predictions by rearing caterpillars of various butterfly species on the predicted host plants. The project will result in a
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evaluating designed backbones and predicting the functional effects of protein variants. In addition, the doctoral student will be part of the DDLS initiative, and participate in the DDLS Research School
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competencies and apply them toward innovative solutions that translate fundamental research into practical applications. Additionally, you must be able to communicate your research effectively and be structured