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on data preparation, coding and implementation of quasi-experimental analyses under Professor Friedman’s guidance, preparing data tables and figures for presentation and manuscripts, and contribution
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develop sophisticated quantitative skills will also be considered. Such applications would be strengthened by displaying coding experience. Successful candidates will have a track record of
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expertise in immunology and have published (or under review) several papers in peer-reviewed scientific journals. Preference will be given to applicants with coding expertise in R and/or Python to handle
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emerging research and scholarship. Our active GW Postdoctoral Association welcomes your engagement in social and professional activities as you join our research teams. Research guides, coding and data
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interested, please provide the following documents: A one-page cover letter briefly describing your academic career, your interest in finance and policy, research experience, coding experience, future
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training in intervention trial research, evaluation science, or implementation science Experience coding implementation strategies and/or behavior change techniques is highly desirable Experience analyzing
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related field • Experience designing, executing, analyzing, and interpreting quantitative experiments, including high-throughput screens. • Experience with coding software such as Python, R, and GitHub
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• Experience working with HIV surveillance or administrative datasets, including data governance and privacy/security practices. • Qualitative methods expertise (coding, thematic analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
, coding, and data analysis. They will additional train and supervise an MD-PhD student who will work with them on their project. The post doctoral research associate will analyze data, trouble shoot
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
equivalent degree in behavioral science, epidemiology, nutrition, public health, or a related field. Coding and statistical analysis experience is helpful but not required. Preferred Qualifications