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critical role in advancing innovative vision research through artificial intelligence, data science, and interdisciplinary collaboration. Working alongside clinicians, researchers, statisticians, fellows
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of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: This project supports the mission of the USDA-ARS
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the opportunity to contribute to various cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
of the relationship between process-induced microstructural variability and mechanical performance. The broad vision of this work is to develop computational tools and frameworks that connect microstructure
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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students. Designing novel experiments and concept in several basic, translational, and clinical projects in metabolic diseases and pregnancy disorders Good computer literacy including databases, standard
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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imaging of cells and tissues. This position resides in the Quantum Computing and Sensing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate