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Field
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approach, including biochemistry, flow cytometry, single-cell transcriptomics, optical mapping, molecular cloning, and advanced phenotyping in transgenic mouse models. This is an excellent opportunity
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. The successful candidate will provide lab-based functional validation of scRNA-seq and spatial transcriptomic findings, translating these into clinically relevant therapeutic targets. The role offers
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. The successful candidate will investigate the mechanisms underlying these differences in stability using a combination of genomics, transcriptomics, cytogenetics, recombination analysis, and phenotyping
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
projects in the laboratory integrate whole-genome sequencing (WGS), transcriptomics, single-cell RNA sequencing, antibody and systems-serology measurements, PhIP-Seq/epitope profiling, immunophenotyping, and
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). Research Project: You will engage in bioinformatic and transcriptomic research to characterize viral evolution and host responses during BVDV infection. You will have access to advanced molecular
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, PCD, and COPD). Yu lab utilizes human donor lungs, pig and mouse models, organoid culture, and single-cell and spatial transcriptomics to understand how inflammation and disease progression remodel
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to improve the biological understanding of lymphoma by characterizing tumor cells, immune cells, and their spatial organization within the tumor microenvironment. We use spatial transcriptomics and spatial
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leading role in research development, research articles, and proposal writing in transcriptome and metabolomics research. The successful candidate will contribute significantly to expanding the laboratory's
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microbiome data. - Perform transcriptomic sampling and analysis of plant roots, fungal tissues, and bacterial samples during co-inoculation experiments. - Assist with microbial culture maintenance, plant
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high-dimensional biological data. Preferred Experience developing deep learning models for multimodal biomedical data. Experience with imaging, single-cell, spatial transcriptomics, electronic health