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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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current projects in 7 different species. The candidate will learn analytical techniques, including high-resolution re spirometry, multiplex assays using MesoScale Discovery, cryosectioning and
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