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basis of hematologic malignancies. Work with mouse models, human tumor samples, and high-throughput technologies (e.g., next-generation sequencing, flow cytometry, and immunohistochemistry). Analyze
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highly motivated postdoctoral fellow to study transcriptional regulation and RNA metabolism in normal development and human diseases, such as neurological disorder, immunology, and cancer. In particular
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, animal models, and human tissues, conduct bioinformatics analysis for high-throughput sequencing data, and report research findings in scientific publications and oral/poster presentations at select
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PMC5706612). As a successful candidate you will: · Have experience and knowledge of human and murine immunology, selection tools for predicting immunologic epitopes complementing virology skills
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bioinformaticians, bench scientists, statisticians, and physician scientists) to perform experiments using cell culture, animal models, and human tissues, conduct bioinformatics analysis for high-throughput
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reflected in first author publications in peer-reviewed journals. Ability to conduct independent research and work effectively in a team. · Experience in conducting human genetics research and
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highly motivated postdoctoral fellow to study transcriptional regulation and RNA metabolism in normal development and human diseases, such as neurological disorder, immunology, and cancer. In particular
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/epitranscriptomics (RNA modifications) and RNA-based therapeutics. Our research involves experiments with RNA Biology, RNA modifications/editing, mRNA-based therapeutics, primary human cancer cells, cancer and stem
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studies. The lab focuses on mechanisms underlying human T-cell development and lymphoid leukemogenesis and the application of these mechanistic insights to the development of novel anti-cancer immunotherapy
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, or immunotherapy. · Ability to work in a fast-paced research environment and manage multiple projects and collaborations. · Previous experience working with human specimens and developing novel