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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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working at the intersection of systems and computational neuroscience. We record, analyze, and model neural population activity in the visual cortex of mice, to understand the mechanisms underlying sensory
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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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completed PhD and postdoc training in biomedical sciences, preferably in cancer biology, stem cell biology, epigenetics, metabolism, microbiome and/or immunology. We are looking for an experienced and highly
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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