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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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experience conducting human subjects research, including data collection, analysis, and interpretation. Must also demonstrate strong scientific writing skills. Preference will be given to those with expertise
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, and desire to be surrounded by faculty and staff who are committed to transforming the public and population health care system in the U.S. Our program prepares Research Scientists to design, implement
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data collection and integration across multi-institutional collaborators. Work closely with clinical and research teams to ensure high-quality sample tracking, annotation, and compliance with
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disinfection engineering, aerosol science, surface science, and data-driven modeling to address HPAI transmission via air, water, and surfaces. The successful applicant will be expected to play a central
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USGS scientists. Manage data and metadata for the project following USGS protocols. Provide regular project updates and complete assigned tasks in a timely, professional manner. Qualifications: Ph.D. in
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the lifespan with a particular focus on the developmental span extending from childhood through young adulthood. Ongoing projects in Dr. Miller’s lab include (1) utilizing integrative data analysis to harmonize
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human samples for flow cytometry, mouse handling, manipulation of the murine gut microbiota, microbiology, data analysis and interpretation, microbiota bioinformatic analyses, working collaboratively with
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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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for additional information about the Department of Medicine. About the Campus: To learn more about the Indiana University-Indianapolis campus, please visit: https://indianapolis.iu.edu/about/ About Indianapolis