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. Learning Objectives: Under the guidance of a mentor, this training opportunity may include: Gain focused training in federal nutrition, physical activity, and obesity surveillance; related research methods
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Project: This project at the Food Safety and Enteric Pathogens Research Unit is focused on identifying methods to reduce Shiga toxin-producing Escherichia coli in food producing animals. Under the guidance
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., Medicare and Medicaid) to examine clinical and environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster
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machine learning methods, including cluster analysis and predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
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preparation, method optimization, data acquisition, and interpretation of surface and cross-sectional characteristics. Apply AFM-IR/nanoIR and other nanoscale characterization approaches to investigate local
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: Understanding of bacterial genetics, disease biology, modern genomic and transcriptomic methods, such as comparative genomics, RNA-seq, genome assembly, and other high-throughput sequencing approaches
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, implementation and evaluation science, program evaluation, mixed methods research and evaluation, applied prevention research, systematic literature reviews, data analysis, data interpretation and visualization
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help to state, tribal, local, and territorial (STLT) public health agencies on disaster epidemiology methods, including the Community Assessment for Public Health Emergency Response (CASPER) and other