andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-1904 knowledge-graph by maker-knowledge-mining
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Introduction: Postdoctoral position in statistical modeling of social networks A full-time postdoctoral position is available beginning Fall 2014 in the research group of Tian Zheng and Andrew Gelman working on statistical analysis and modeling of social network data, in close cooperation with our experimental collaborators. Four key papers of this project so far are: http://www.stat.columbia.edu/~gelman/research/published/overdisp_final.pdf http://nersp.osg.ufl.edu/~ufruss/documents/mccormick_salganik_zheng10.pdf http://www.stat.columbia.edu/~gelman/research/published/DiPreteetal.pdf http://arxiv.org/pdf/1301.2473.pdf Requirements: The work is highly interdisciplinary, and applicants must have strong statistical and computational skills. Social science research skills are preferred but not necessary. Preferred educational background is a PhD in statistics, computer science, political science, sociology, or a related field. Expertise in Bayesian modeling and computing is required. Prev
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2 Social science research skills are preferred but not necessary. [sent-18, score-0.639]
3 Preferred educational background is a PhD in statistics, computer science, political science, sociology, or a related field. [sent-19, score-0.168]
4 Previous experience with network data is preferred but not required. [sent-21, score-0.648]
5 Environment: The research group is at Columbia University, based in the Statistics department and closely integrated with the Applied Statistics Center at Columbia, in the great city of New York. [sent-22, score-0.555]
6 There will also be the opportunity to work with Zheng and Gelman and their collaborators on other research projects involving statistical computing, genetics, and computational social science. [sent-23, score-0.846]
7 Appointment: The initial appointment will be for one year, and is renewable. [sent-24, score-0.318]
8 Salaries will be set based on experience and skills. [sent-25, score-0.221]
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Introduction: Postdoctoral position in statistical modeling of social networks A full-time postdoctoral position is available beginning Fall 2014 in the research group of Tian Zheng and Andrew Gelman working on statistical analysis and modeling of social network data, in close cooperation with our experimental collaborators. Four key papers of this project so far are: http://www.stat.columbia.edu/~gelman/research/published/overdisp_final.pdf http://nersp.osg.ufl.edu/~ufruss/documents/mccormick_salganik_zheng10.pdf http://www.stat.columbia.edu/~gelman/research/published/DiPreteetal.pdf http://arxiv.org/pdf/1301.2473.pdf Requirements: The work is highly interdisciplinary, and applicants must have strong statistical and computational skills. Social science research skills are preferred but not necessary. Preferred educational background is a PhD in statistics, computer science, political science, sociology, or a related field. Expertise in Bayesian modeling and computing is required. Prev
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Introduction: Postdoctoral position in statistical modeling of social networks A full-time postdoctoral position is available beginning Fall 2014 in the research group of Tian Zheng and Andrew Gelman working on statistical analysis and modeling of social network data, in close cooperation with our experimental collaborators. Four key papers of this project so far are: http://www.stat.columbia.edu/~gelman/research/published/overdisp_final.pdf http://nersp.osg.ufl.edu/~ufruss/documents/mccormick_salganik_zheng10.pdf http://www.stat.columbia.edu/~gelman/research/published/DiPreteetal.pdf http://arxiv.org/pdf/1301.2473.pdf Requirements: The work is highly interdisciplinary, and applicants must have strong statistical and computational skills. Social science research skills are preferred but not necessary. Preferred educational background is a PhD in statistics, computer science, political science, sociology, or a related field. Expertise in Bayesian modeling and computing is required. Prev
Introduction: The Division of Biostatistics and Epidemiology at Weill Medical College of Cornell University invite applications for a post-doctoral fellow position in Biostatistics. We are seeking a highly motivated individual to develop novel statistical methods for missing data imputation and applications in health disparities research using national administrative data, with funding from Agency of Healthcare Research and Quality. The candidate will be jointly mentored by Dr. Yan Ma (PI of the grant) at the Hospital for Special Surgery (HSS)/Weill Cornell Medical College (WCMC) and Dr. Andrew Gelman in the Department of Statistics at Columbia University. The candidate will also have excellent opportunities to collaborate with researchers in biostatistics, epidemiology, health disparities, and orthopedics through the Clinical and Translational Science Center at WCMC. Candidates should have a doctoral degree in Statistics or Biostatistics with strong background in Bayesian methods. Experien
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