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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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collecting soil, plant, and water samples; monitoring soil moisture with advanced sensors; organizing and processing research data; and contributing to modeling efforts that examine water and nutrient dynamics
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/abstract and full-text screening using established software platforms, and extract relevant clinical data from selected studies. Assessing the risk of bias and methodological quality of included studies
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surveillance initiatives. Laboratory data-management skills: You will learn to operate various instrument software and a laboratory management database for analytical result review, laboratory information
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: Experience with data collection, electronic data management (e.g., Qualtrics), data analysis/statistical software (e.g., SPSS, R) Strong oral/written communication skills Application Requirements A complete
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analytical tools, including software and open-source resources, to evaluate, analyze, interpret, and communicate scientific information relevant to environmental and public health. Training will include
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the Centers for Medicare and Medicaid Services (CMS) accessed through the CMS Virtual Research Data Center, National Health and Nutrition Examination Survey, National Health Interview Survey, and Medical
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reviews, statistical programming and analysis using software such as SAS, SUDAAN, and R, data interpretation and visualization, scientific writing, and scientific communication. You will also develop skills
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of cottonseed oils and bio-based products relevant to cottonseed. The research will utilize laboratory-based conventional organic chemistry and materials science techniques to design, synthesize, develop and test
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required to comply with Environmental, Safety and Health (ES&H) requirements of the hosting facility, including but not limited to, COVID-19 requirements (e.g. facial covering, physical distancing, testing