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cultures and brain organoids. Molecular and cellular biology approaches, including gene-expression analysis and characterization of cellular phenotypes. Genetic and genomic approaches, including gene editing
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and PBWT-based algorithms (RaPID, RAFFI, FiMAP, ROH analysis, local ancestry inference), now extending into GBWT/RLBWT-based pangenome indexing, efficient pangenome graph construction and query, cross
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impactful scientific projects and manuscripts. The successful candidate will contribute to multi-center projects that integrate population science, molecular epidemiology, and large-scale cohort analysis
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analysis of cerebrovascular genetics and multiomic studies. The laboratories jointly investigate the genetic basis of cerebrovascular disorders, including intracranial aneurysms, cavernous malformations, and
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associate will lead and contribute to the analysis of behavioral task data using computational modeling approaches, working closely with computational psychiatry experts Drs. Xiaosi Gu and Robb Rutledge and
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biology methods, dry-lab bioinformatic analysis, and a translational approach using clinical samples, including blood and tissue samples from people with HIV. This postdoctoral researcher may also be
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well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput experimental
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. Other projects may be added to the portfolio in the future. Key responsibilities: Support with project coordination including overseeing research design, data collection and analysis, leading meetings and
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data interpretation and analysis. Reports on the status of research activities Recruits study participants and ensures that subject recruitment and follow-up are completed per protocol procedures Orders
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biology, secretory pathway metabolism, ER stress responses, and liver and metabolic disease. The lab has developed a rapid ER immunoprecipitation method that enables robust metabolomic analysis of the ER