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Postdoctoral Fellowship in AI and Large Language Models for Transforming Pediatric Healthcare The Computational Health Informatics Program (CHIP) at Boston Children's Hospital, affiliated with
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be in close collaboration with experimental and clinical collaborators and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies
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responsible for analyzing/summarizing large-scale genetic data on common diseases and traits for publications. The ideal candidate should hold a PhD in genetic epidemiology, statistical genetics, bioinformatics
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, or data analysis is highly desirable and would be considered a valuable asset. Additional skills that would strengthen a candidate’s application include: experience with whole-genome or exome sequencing
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analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables
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of sulfide research on Southwest Indian ridge: Major Research in Geophysics, Sulfide mineralization, Resources assessment The big data analysis on geochemistry of seabed igneous rocks and its applications
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, and bioinformaticians, undertaking several collaborative projects involving large international consortia. Our research is focused on translational research on the genomic and epigenomic
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-fixed or freely moving mice, including recording and analysis of large-scale neural activity recordings acquired using in vivo extracellular recording techniques or two-photon imaging. About the role
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, manuscript preparation, and assisting in grant writing. He/she will be responsible for analyzing/summarizing large-scale genetic data on cardiometabolic traits and diseases for publications. He/she must
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cancer biology to provide insights into cell fate decisions, normal and malignant stem cell renewal, treatment response and resistance in cancer. The position will involve the analysis of large-scale