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, focused on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Czech Centre for Phenogenomics (CCP, https
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experiments. Conduct experiments related to deepfake detection and computer vision. Prepare, preprocess, and analyze image and video datasets. Train and evaluate deep learning models using performance metrics
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Posting Number req27171 Department Geosciences Department Website Link https://geo.arizona.edu Location Tucson Campus Address Tucson, AZ USA Position Highlights The Department of Geosciences is part of
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within the field of photography, both theoretically and practice-based, you develop a future-oriented research practice in photography and visual culture. You investigate how images shape meaning
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through https://jobs.illinois.edu will not be considered. For further information about this specific position, please contact Hanna Richmond at [email protected]. For questions regarding
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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occasionally lift and/or carry up to 25 pounds. Specific vision abilities required by this position include close vision, distance vision, color vision, depth perception, and the ability to adjust focus. About
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www.daslabpombe.com. For this research, we will use yeast genetics, live-cell imaging, protein dynamics, in vitro reconstitution, quantitative microscopy, and mathematical modeling approaches. Our lab is well equipped
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute