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Field
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biological mechanisms that underpin endometrial regeneration. Applies and analyzes data from next generation sequencing technologies for the study of transcriptomics in bulk- and single cells
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environments Leadership in Lab, including personnel and equipment Microbiome sequencing (16S/ITS), genomics, shotgun metagenomics, and transcriptomics Multivariate and statistical modeling of
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environments Leadership in Lab, including personnel and equipment Microbiome sequencing (16S/ITS), genomics, shotgun metagenomics, and transcriptomics Multivariate and statistical modeling of
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development and human diseases, such as neurological disorder, immunology, and cancer. Utilize biochemistry, molecular biology, CRISPR-based genomic screen, single-cell transcriptomics, and genetically modified
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opportunities. Prior experience with tissue culture, animal models, high-parameter flow cytometry, spatial transcriptomics or proteomics, and cell gene engineering techniques is desired, but not required. This
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immune cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell
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transcriptomics, and proteomics/metabolomics. The overarching goal of the project is to investigate how early-life diet shapes the functional capacity of the gut microbiome and how these microbial functions
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transcriptomics. Familiarity with next-generation sequencing data analysis tools. Experience working in Linux environments, including batch job management on shared computing resources. Familiarity with a variety
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and histology datasets. Applying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions. Integrating spatial transcriptomics, single-cell
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, transcriptomics, proteomics) to support drug targetidentification and validation. Carry out in vivo animal model work, including pathogen infection models where applicable, underapproved animal care protocols