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of the research project. Take a lead role in communicating the results of studies through scientific journal articles and conference presentations. Work with the research team to ensure conformance with the quality
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pollutants and climate-related datasets. Lead, draft, and publish papers, including first-authored papers, in peer-reviewed journals. Give oral presentations to disseminate research findings. Position Status
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, the candidate will work under the direct supervision of Dr. Cui Yang on the observational and intervention studies of population health. The postdoc will lead data management and analysis of large, complex, and
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for conduct of the project. It is expected that research will lead to publications and the Postdoctoral Fellow will be expected to prepare manuscripts as well as contribute to the preparation of grant and
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, the candidate will work under the direct supervision of Dr. Cui Yang on the observational and intervention studies of population health. The postdoc will lead data management and analysis of large, complex, and
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-particle cryo-EM and atomic model building/validation. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Must be able to safely perform laboratory experiments. Must be able to lift a
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the possibility of an extension for a maximum of two additional years. During their appointment, the fellow will conduct research, participate in departmental activities, lead on-campus programs (e.g., an academic
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the possibility of an extension for a maximum of two additional years. During their appointment, the fellow will conduct research, participate in departmental activities, lead on-campus programs (e.g., an academic
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both functional and structural MRI data. Take a lead role in communicating the results of neuroimaging studies through scientific journal articles and conference presentations. Work with the research
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will lead data management and analysis of administrative claims and longitudinal datasets, including the application of quasi-experimental methods such as difference-in-differences using Stata or R