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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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into normal and malignant hematopoiesis, and to establish certain protein-RNA hubs as actionable therapeutic targets and molecular markers, contributing to the emerging field of precision medicine. To learn
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