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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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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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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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data collection and analysis is essential, including use of and managing teams using NVivo or other qualitative software packages. Demonstrated ability to work as part of a team, to communicate research
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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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neuropsychiatric disorders and substance use through human laboratory studies, neuroimaging, and clinical trials. The Center brings together investigators with deep expertise in psychopharmacology, neuroscience
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The Chioccioli Lab at Yale School of Medicine is seeking a highly motivated Postdoctoral Associate to lead work on the cellular origins of KRAS-driven lung adenocarcinoma. The primary project investigates how
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human genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis, and comfort with bioinformatics. This is highly collaborative work, so the candidate