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environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling approaches in R. Emphasis will be placed on building your analytical
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your skills in molecular biology, virology, cell culture, vector biology, and animal models, to understand what drives the arbovirus transmission cycle. Additionally, you will be provided opportunities
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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., Medicare and Medicaid) to examine clinical, behavioral, social, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and
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insurance can be obtained through ORISE. The successful applicant(s) will be required to comply with Environmental, Safety and Health (ES&H) requirements of the hosting facility, including but not limited
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Location: A research opportunity is currently available with the Division of Environmental Health Science and Practice (DEHSP) of the National Center for Environmental Health (NCEH) at the Centers
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tools to support current business processes. Gain experience gathering software and systems requirements. Learn data modeling, data mapping, and data transformation. Train in developing reports utilizing
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, COMPASS-31 measures, etc. The project may include descriptive analysis, multivariable modeling, and integration of findings across epidemiologic datasets to improve understanding of infection-associated
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modeling techniques to identify patterns, trends, and emerging public health concerns. Design and evaluation of interactive data visualizations and dashboards to communicate scientific findings. Best