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, microbiology, biotechnology, ecology, bioinformatics, or related disciplines. Experience with DNA-based analytical methods (e.g., qPCR, sequencing, metabarcoding, or eDNA) is required. Previous work with
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of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties
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tetramers, BCR/TCR sequencing, single-cell multi-omics (RNA/ATAC/CITE/TCR-seq), and functional assays to map antiviral responses at high resolution. This project will be carried out as a close collaboration
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molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene
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esophageal organoids from both healthy and inflamed epithelium. You will characterize how inflammation impacts organoid development and architecture using IF and single-cell sequencing. In addition, you will
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hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties. An emerging frontier focuses on designing proteins that act as templates
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esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions. We seek a curious, highly motivated, and creative
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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interdisciplinary, combining advanced molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA sequencing and synthesis to design useful cell behaviors. The scope of this project
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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in