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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
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 services that support
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support the Preclinical Imaging Shared Resource (PISR) within the University of Kansas Cancer Center and the Department of Cancer Biology. This position will develop and apply advanced preclinical imaging
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contribute to grant development. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours 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
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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, biomedical imaging, computer vision, and clinical data science. Individuals holding MD or equivalent degrees with at least one year of related computational experience may also be eligible. Under
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine
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. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2. Demonstrated research experience in 2D/3D