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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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transfer to the brain, translate emerging toxicological action levels and Occupational Exposure Limits (OELs) into mathematical models, and establish algorithms that determine brain risk levels based
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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optimization doctrine, preventive medicine, planning doctrine, materiel development support, physiological monitoring strategies and predictive algorithms, and Health Hazard Assessments. About ORISE This program
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0348-NPP-NOV26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0340-NPP-NOV26-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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ecology, remote sensing, and computer science. UAV imagery and increasingly sophisticated and targeted AI algorithms can estimate forage quality, biodiversity, and the abundance of individual plant species
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0345-NPP-NOV26-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives