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Doctoral Students) at JSU, other HBUCs, and Harvard Chan School. 6. Severe as an instructor for epidemiologic methods and statistical analysis. 7. Mentor predoctoral trainees during their fellowship period 8
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, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory
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at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory
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Description The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a Postdoctoral Research Fellowship focused on the development of statistical methods
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, Kinesiology, Movement Science, Physiology, Biomedical Engineering or a related field. Additional Qualifications A strong background in statistics, as well as previous experience in human subjects studies with
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well as collaborators at the Massachusetts General Hospital Biostatistics Center and the Fred Hutchinson Cancer Center. The scope of work will focus on non- and semi-parametric inferential statistical methods
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analysis, organizational skills, and strong interpersonal and communication skills. While not a must, a strong background in computational methods and/or statistical methods is a plus. Special Instructions
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Postdoctoral Research Fellow/Research Associate Position in Biostatistics and Biomedical Informatics
developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as
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equivalent degree in computer science, statistics, economics, management science, information systems, operations, or other related quantitative and/or social science domains. All degree requirements must be
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at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for data science and/or statistical methods development to address questions of climate change and air