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. In this role, you will collaborate with leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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-performance computing, cyberinfrastructure, data-intensive computing, computer vision, digital agriculture, or scientific computing. Record of scholarly productivity appropriate to career stage, including
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five-year mission of the ORNL Quantum Science Center (QSC) to establish a quantum-accelerated computing ecosystem for scientific applications. The successful candidate will develop, test, and evaluate
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Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in
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educational, medical, and research center. Today, we are one of the largest schools of veterinary medicine in the United States, training nearly 600 Doctor of Veterinary Medicine students each year
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educational, medical, and research center. Today, we are one of the largest schools of veterinary medicine in the United States, training nearly 600 Doctor of Veterinary Medicine students each year
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Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering) Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 27 Aug 2026
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agreement with USDA-ARS and is conducted in collaboration with the USDA-ARS Southern Plains Agricultural Research Center (Insect Control and Cotton Disease Research Unit).This is a field scientist's
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agreement with USDA-ARS and is conducted in collaboration with the USDA-ARS Southern Plains Agricultural Research Center (Insect Control and Cotton Disease Research Unit).This is a field scientist's