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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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just medicines. Research Project: This educational research participation opportunity within FDA’s Office of Generic Drugs (OGD) provides a mentored learning experience focused on the evolving global
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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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are conducted to evaluate if a clean-up remedy still protects people and the environment. Communities may be at risk from chemical exposures at sites that were cleaned up, as new or different hazards may be
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. You will take plant, soil and air samples and examine biogeochemical processes that influence carbon and nitrogen dynamics and cycling in different cropping systems, and study interactions within
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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