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demonstrated through peer reviewed publications and presentations at national/international conferences. Coursework in advanced epidemiologic methods (causal inference models), environmental mixtures, and
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data. Leading statistical analysis (methods may include IPTW-weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring). Developing and extending an AI
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developing proposals for external funding Preferred Qualifications o Familiarity with energy policy analysis approaches and methods, including stakeholder interest and conflict analysis, benefit-cost analysis
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independent origins of aquatic locomotion. 2) Phylogenetic and Evolutionary Analysis: Use phylogenetic comparative methods to test whether limb reduction in aquatic lineages follows a constrained developmental
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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an interdisciplinary research team Preferred Qualifications Experience analyzing metabolomics, proteomics, lipidomics, transcriptomics, or other high-dimensional molecular data Familiarity with methods such as dimension
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research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry. Ongoing
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siderophile elements and their isotopic ratios in natural samples. Data will be collected using high precision thermal ionization mass spectrometry and inductively coupled plasma mass spectrometry techniques
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research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry. Ongoing
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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 offers