98 computer-algorithm "https:" "Simons Foundation" Fellowship positions at Zintellect
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-ARS Ornamental Research Program in Miami, FL. The fellow will participate in a team effort to maintain and characterize Ornamental Genetic Resources (OGRs) by discovering molecular resources using
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affect oyster phenotypes targeted for improvement. The fellow will also gain experience using advanced computational methods to develop tools that can accurately predict desirable phenotypes. With
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), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About
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Program of the USDA ARS offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome
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predictable, consistent, transparent, and efficient regulatory pathways, and assuring consumer confidence in devices marketed in the U.S. Research Project: The Artificial Intelligence Regulatory Science Program
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areas. These include, but are not limited to: Applying machine learning algorithms to solve real-world problems. Creating and structuring databases for storage, retrieval, and image analysis. Determining
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Project: Selected participants will join research projects focused on the development of methods and tools in support of our regulatory science efforts in evaluating computational pathology (CPATH) devices
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validate algorithms for estimating heat stress, counting animals, and estimating mass in real-time. Although research is needed to integrate One Health assessments across the soil-pasture-animal continuum
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availability, project assignment, program rules, and availability of the participant. What are the provisions? You will receive a stipend to be determined by AFRL Stipends are typically based on a participant’s
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300 species. https://www.ars.usda.gov/northeast-area/geneva-ny/plant-genetic-resources-unit-pgru/docs/about-pgru/ Research Project: Participants will have the opportunity to explore genetic variation