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with mobile health (mHealth) technologies 3. Knowledge of advanced statistical methods (e.g., structural equation modeling, multilevel modeling) 4. Research or clinical experience with individuals with
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, methodological, statistical and writing skills. Has experience in social service or education program evaluation. Has previous experience in grant writing and working in a team setting. Has experience publishing
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statistical analyses Participate with faculty and other fellows and trainees, in the development of research manuscripts for publication in peer-reviewed scientific journals. Prepare a research proposal for
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written and verbal communication skills Proficiency in data analysis software and statistical methods Preferred Qualifications: Strong expertise in cellular and molecular biology techniques is essential
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exhibit a comprehensive understanding of research methods and data analysis. Intermediate or advanced knowledge of SPSS, Stata, R or SAS and multivariate statistics. Applicants must demonstrate strong
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multivariate statistics. Applicants must demonstrate strong scientific writing skills and have the skills to publish research findings in peer-reviewed journals. Preferred Qualifications: Knowledge / ability