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or Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (4 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (5 ) Mathematics and Statistics (2 ) ORISE GO
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quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
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fields. Preferred skills: Preferred educational background in computer sciences or related field. Any educational or work experience with agricultural data is a plus. Knowledge in computer programming
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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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, 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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. Additional Desired Qualifications: Demonstrated success in collaborative environments. Experience with NASA remote sensing data and machine learning. Experience communicating scientific concepts to wide
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) Department. This fellowship is focused on advancing military-relevant organ support, extracorporeal life support, trauma care, hemorrhagic shock management, critical care, and battlefield resuscitation
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,” an autonomous environmental robot outfitted with GPS, a downward-facing camera to capture images of surficial sediment, and an onboard machine learning model for image processing. SandHound will be capable
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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