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grant applications. Training opportunity Funded by several NIH grants (R01, U01, and P01), our lab provides a collaborative environment and multi-disciplinary training for scientific and career
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compounds that enhance the activity of existing antifungal agents, reverse antifungal resistance, and reduce drug-associated toxicity. These studies build on our recent publications describing pantothenate
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. Develop and optimize genome and epigenome editing workflows in neuronal or neural progenitor systems. Generate, analyze, and interpret multi-omic datasets (e.g., RNA-seq, ATAC-seq, ChIP/CUT&RUN/CUT&Tag
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genomics, multi-omics, and artificial intelligence to predict and prevent disease trajectories through precision medicines tailored to the right patient at the right time. Our vision is to create digital
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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets
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), ALS, long Covid and other CNS diseases. · Apply multi-omic profiling (small and long RNA-seq, lipidomics) to define exosomal cargo signatures associated with different disease states. · Develop and
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developing and evaluating innovative treatment approaches including those involving parents. The Program’s research relies on multi-informant and multi- method assessments, several of which were developed by
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study, “High-throughput in vivo and in vitro functional and multi-omics screens of neuropsychiatric and neurodevelopmental disorder risk genes.” The objective of this research is to gain new insights