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scientific or statistical techniques. • Present experimental findings to the research community at conferences or other military/scientific venues. • Document experimental procedures and results. • Develop 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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, 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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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects
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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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. Citizen Degree: Master's Degree received within the last 60 month(s). Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data
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, Master's Degree, or Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Engineering (5 ) Environmental and Marine Sciences (4 ) Life
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. Citizen Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (2 ) Life Health and Medical Sciences (20 ) Mathematics and Statistics (7 ) Affirmation I
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fields. Point of Contact Ashley Eligibility Requirements Degree: Master's Degree or Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and
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, BioPermit. Training as a member of the CDC IPP, you will collaborate with computer and health scientists to develop enhancements for BioPermit and improvements to the electronic database. Additionally, you