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genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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transcriptomic approaches to study immune memory in human organoid cultures and knockout/transgenic mouse models. The candidate will also contribute to other ongoing projects of the laboratory, assisting other
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recommends, develops, and implements new or revised sequencing-based, proteomic, transcriptomic, and multi-omic approaches to support assigned research objectives and enhance the lab’s technical and analytical
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; Macrophage and/or microglial biology; Flow cytometry; Immunohistochemistry and microscopy; Cellular and molecular biology techniques; Transcriptomic or systems biology approaches. Demonstrated ability
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transcriptomics and/or cancer immunology considered strong assets. The candidate should also be able to work independently or collaboratively, and there are numerous opportunities to engage with the academic
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. Following this strategy, candidates should employ advanced methodology for application in oral health research, including microbiological omics methods, including genomics, transcriptomics, proteomics, and
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data together with multi-omics datasets including (but not limited to) DNA methylation, transcriptomic, microbiome sequencing reads. -Develops complex statistical models and strategies for the analysis
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are not limited to, the following examples: predictive and prognostic biomarkers, omics (panomics, genomics, transcriptomics, translatomics, methylomics) in health and disease, pharmacogenomics
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troubleshooting. · Lead genomic analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics
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analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics team (external). Assist with