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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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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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-related mindsets; the mechanisms and moderators of emotion-focused interventions; and the design and analysis of large-scale digital and app-based research. The position also includes a role in supporting
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mammalian riboswitches and defining their biological functions. Research activities may include: Genetic manipulation of mammalian cell lines using CRISPR-based approaches Construction and analysis
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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
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-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets, these will also