97 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in United States
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Pest Management in The Western U.S.' (https://ai4sa.ucr.edu/ ). The overall goal of this project is to develop advanced tools for early stress (abiotic and biotic) detection and decision support for crop
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online databases or interactive websites. Learning Objectives: TUnder the guidance of a mentor, the participant will learn techniques in genomic epidemiology and machine learning to quantify drivers of IAV
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
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Organization U.S. Department of Defense (DOD) Reference Code USAMRDC-MRIID-2026-0004 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description
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in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. At Brookhaven National Laboratory we believe that a comprehensive employee
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the ability to quickly learn new things and work independently, along with previous research experience in at least one of the following areas: 1) statistical genetics/genomics/omics, or 2) deep/machine
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of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service Members and Veterans. To learn more, visit: https
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approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational
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understanding of activity, role and purpose of thinking in an age of machine learning, cognitive and neural engineering and enhancement. Approaches that emphasize diverse forms of thought (animal cognition
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operations in the following areas: Soil & Groundwater; Deactivation & Decommissioning; Tank Waste; Robotics; Machine Learning; Artificial Intelligence; Cybersecurity; and Advanced Manufacturing. Are you