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, and environmental factors associated with diabetes incidence, prevalence, complications, and trends. Learn and apply advanced statistical and machine learning methods, including cluster analysis and
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environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster analysis, to characterize populations with diabetes and
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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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the Division of Environmental Health Science and Practice (DEHSP) of the National Center for Environmental Health (NCEH) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia. The Centers
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(GGRU), USDA aimed to understand the grapevine response to environmental stresses like cold/freezing, drought, heat, and nutrient stresses. The research goal is to expedite research findings
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of Defense . Qualifications The ideal candidate will be a graduate student or received a master's or doctoral degree in Civil or Environmental Engineering, or Hydroligic Sciences. Preferred skills include
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, you will explore how public health research needs are identified, evaluated, and aligned with agency goals. You will begin by gaining experience conducting an environmental scan of current research
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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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was previously the Bureau of Ocean Energy Management (BOEM) and the Bureau of Safety and Environmental Enforcement (BSEE), promotes energy independence, environmental protection and economic development through
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degree in one of the relevant fields. Preferred skills: A strong academic background in soil science, agronomy, environmental science, plant science, agricultural engineering, hydrology, or a related field