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, epigenomic, proteomic, T-cell receptor rearrangement sequencing, high dimensional spectral flow cytometry, in vitro organoid, and in vivo xenotransplantation assays. The Parekh lab is funded by R01 grants from
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clinical trial patient samples, and in vitro or in vivo assays (genomic sequencing, RNA sequencing) Use of spatial biology methods (e.g. Xenium, GEOMx, CyCIF, HALO AI) to examine tissue responses in models
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sequencing and spatial transcriptomics data. Learn and master skills for integrative analysis of high-dimensional bulk and single-cell multi-omics data. Gain rich knowledge in cancer biology, cancer genomics
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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aim is to solve the sequence-to-function problem: how gene function and regulation is encoded in DNA sequences. Current lines of work include high-throughput determination of binding sites and binding
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. Ability to work in a fast-paced team environment and handle multiple projects simultaneously. Your qualifications should include: Ph.D., MD, or MD/Ph.D., with a strong background and profound knowledge in
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imaging system for immunology. A novel, rapid AAV-mediated technology for generating transgenic mouse models. Comprehensive core facilities for advanced flow cytometry, genomics, and single-cell sequencing
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Queen’s Illuminate Global Challenges Fellowships are an opportunity for exceptional and ambitious early-career researchers to join Queen's to focus on achieving research excellence that aligns
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early career scientists with at least two years’ distinguished experience after their Ph.D. and selected based on their demonstrated ability to contribute to the science aligned to the Laboratory's
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/~wwang7 . Position Title: Postdoctoral Fellow in Cancer Computational Biology Program/Position Description: Analyze next-generation sequencing (NGS) data, including: Develop computational and statistical