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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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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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, 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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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: 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
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& Amputation Center of Excellence (EACE) is a unique organization within the Department of War (DoW) consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities
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anticipated to receive by July 2027. Preferred skills: Academic training in computer science, artificial intelligence or machine learning, data science, bioinformatics, computational biology, epidemiology