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other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond. Research Intern - Genetic Epidemiology of Aging-Related
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computational and network scientists with a particular focus on candidates with prior research experience in infectious disease modeling, network epidemiology, agent-based modeling, disease forecasting, and
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motivated and skilled Postdoctoral Research Associate to join the team and conduct cutting-edge research on disease dynamics and epidemiological modeling. The Postdoctoral Research Associate will work
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College of Health Sciences current research programs, particularly the ones in the fields of network science, infectious disease dynamics, and computational epidemiology. Successful applicants will have an
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that explain public health disparities. 4 credits, on-campus, day PHTH 4202 Principles of Epidemiology in Medicine and Public Health Introduces the principles of epidemiology necessary to critically evaluate
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related field (e.g., Neuroscience, Epidemiology, Nutrition Sciences), with an interest in the social and nutritional biology of early development. Strong candidates will have a track record of research
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computational and network scientists with focus on candidates with prior research experience at the intersection between network science, data science, epidemiology, economics, computational social science, urban
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a degree in a relevant field (e.g. Statistics, Biostatistics, Bioinformatics, Data Science, Public Health, Epidemiology, Health Informatics, Computer Science, Applied Health Sciences, or related
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disciplines that explain public health disparities. 4 credits, on-campus, day PHTH 4202 Principles of Epidemiology in Medicine and Public Health Introduces the principles of epidemiology necessary to critically
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communication skills. Qualifications: Ph.D. or equivalent degree in Biostatistics, Data Science, Statistics, Epidemiology, Computer Science, or related fields Research experience in observational health data