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developing mathematical, statistical, and computational foundations for modern artificial intelligence, particularly researchers interested in using these methods to advance scientific discovery. This
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Group Introduction The Hai Zhu Group conducts research in numerical methods and scientific computing. Research interests include, but are not limited to, numerical methods for partial differential
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and gene regulation with a strong interest in driving development of sequencing methods to identify mRNA decay substrates and decipher degradation mechanisms. The role The successful candidate will
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regulation, combining single-cell genomics, chromatin profiling, and comparative genomics methods in a phylogenetically diverse array of eukaryotes. For more details about the lab, visit the lab website
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methods for inverse problems governed by PDEs. Specific research topics include: • Operator recurrent neural networks for elliptic inverse problems (e.g., Calderón's problem, Schrödinger-type equations