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science, specifically in HIV prevention, substance use, and health disparities among multiply marginalized populations using multilevel methods including social network analysis, neighborhood-level
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science, specifically in HIV prevention, substance use, and health disparities among multiply marginalized populations using multilevel methods including social network analysis, neighborhood-level
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, self-management science, acute/chronic disease management and pain mechanisms and methods under the mentorship of renowned faculty. The successful candidate will have the opportunity to advance their
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. Receive training in modeling methods, professional development, and grant-writing. Prepares written reports and presentations for conferences and meetings with collaborators across multiple institutions
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. Receive training in modeling methods, professional development, and grant-writing. Prepares written reports and presentations for conferences and meetings with collaborators across multiple
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campuses of Rutgers related to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist
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campuses of Rutgers related to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist
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EHR and administrative claims data. Leading statistical analysis (methods may include IPTW -weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring
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related discipline, with experience in field methods and/or environmental data analysis; familiarity with Python-based workflows, AI/ML, or hydrogeophysical modeling is highly desirable. The position
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Abilities · Comprehensive understanding of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, STATA ). · Excellent quantitative analytical skills, particularly in