80 machine-learning-"https:"-"https:"-"https:" uni jobs at Zintellect in United States
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, austere conditions. Learning about military deployment health and gain experience in environmental data collection. Contributing to solutions for difficult environmental health problems in complex
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. Description: Theoretical research and computer simulation are carried out with emphasis on observations of space plasmas. Specific interest areas include (1) nonlinear phenomena in unstable collisionless
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settings. Develop and evaluate AI and machine learning models for automated detection of contamination and intrusion events. Interpret and validate imaging and sensor data to support evidence-based decision
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candidates who would like to learn and gain experience in how to plan and perform large animal research and/or burn research in a military medical environment. What will I be doing? As an ORISE participant
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ORNL’s world-class research and technical staff in an externship focused on professional development, curriculum design, and hands-on learning. ORNL Teacher Summer Institute Details The appointment is a 4
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measurements, airborne measurements from field campaigns (e.g., NASA CAMP2EX, ARCSIX) or surface observations. Research involving machine learning techniques will be strongly encouraged. Field of Science: Earth
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• Unmanned Aerial System development, testing, and research • Biomechanics research in musculoskeletal and gastrointestinal systems • Machine learning • Mechatronics and robotic systems • Wind Tunnel
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helping the office in research, economic, and science security to improve the impacts of USDA agricultural science and innovation. Under the mentorship of a Senior Advisor, the fellow will learn about
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of the Agency. Learning Objectives: Under the guidance of the mentor, you will receive training in pharmaceutical science, laws and regulations related to pharmaceutical quality, lifecycle management of drug
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filtration research techniques, and data analysis. Opportunities for active participation include: Experimental: You will learn how to engage in 3D printing of novel filtration devices and the testing