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Must be a current student; Courses/skills in education policy, statistical programming, and data visualization software. The Ohio State University is an Equal Employment Opportunity & Affirmative Action
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projects as specified in the project plan• Collecting data in accordance with ethical and technical principles. • Applying appropriate quantitative, statistical, and/or qualitative methods for analysis and
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statistical procedures, preparing files for use with modeling software. Design and build complex regression models. Requires a familiarity with evaluation models including probabilistic matching, Interrupted
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(such as DNA/RNA extraction and PCR) and nucleic acid sequence data analysis; knowledge and application of SAS, R and/or other statistical packages; a high level of time management and organizational skills
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. Specialized knowledge of population modeling or coding. Demonstrated ability to analyze population or community datasets using statistical and data management skills and demonstrated communication of project
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to hold a PhD in a related area of science including but not limited to – Computer Science, Electrical Engineering, or Statistics, and to have a strong track record of publications in premier AI venues
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Python are essential. Extensive working experience in programing in Fortran and Python is required. Desired Qualifications Experience in numerical modeling and statistical analysis is highly desirable
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Proficiency with public or clinical health programmatic, policy, or economic evaluation Proficiency with SAS, R, Stata, or other statistical analysis software Exceptional organizational and communication skills
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statistical procedures, preparing files for use with modeling software. Write reports, publications, and presentations in collaboration with larger team of staff and researchers. Other duties as assigned
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, descriptive statistics, and regression), (2) writing for publication, and (3) data collection in applied settings, including child care programs, schools, and community settings. The Postdoctoral Scholar should