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and cutting-edge machine learning models. Our vision is to transform our understanding of gene regulation and unlock new frontiers in synthetic biology, drug discovery, and personalized medicine through
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, ensuring strong service levels and competitive fee structures. Monitor compliance with debt covenants, manage drawdowns on grant awards, and assist with debt modeling and refinancing strategies, including
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. Position Responsibilities Develop and implement machine learning and deep learning models to analyze and interpret high-throughput functional genomics data, such as ChIP-seq, RNA-seq, and ATAC-seq
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, molecular biology, CRISPR-based approaches, and mouse models is a plus. Supplemental Information How to Apply: Interested individuals within one year of having received their Ph.D. should send their CV, a
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hematopoietic cell development and hematologic cancers. Based on these basic mechanistic insights, the Laboratory is building innovative therapeutics to treat hematopoietic cancers that are currently without
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a relaxed and diverse atmosphere defined by constructive thought exchange. Opportunities to learn about model systems of disease, advanced microscopy, genetic engineering, new sequencing techniques
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laboratory settings. Our lab, using this novel model system, seeks to pursue two complementary questions. First, how does the auditory system interact with the motor system to generate the sensorimotor loop
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-year partnership with the RNA Society for the strategic development, growth and publication of the Society’s journal RNA • The transformation of an iconic, print-based laboratory manual publishing
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scientific discoveries. PhD candidates expecting to complete by 2024 are encouraged to apply. Candidates with expertise in organic synthesis, peptide/ natural product/macrocycle chemistry, or chemical biology
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screens, focusing on the relationship between regulatory elements and gene expression. Train and develop sequence-based deep neural networks to predict gene expression outcomes. Document findings and