37 postdoctoral-machine-learning Postdoctoral positions at Duke University in Postdoctoral
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded
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and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications Screening continues until position is filled. Job Code: 00003820 POSTDOCTORAL ASSOCIATE
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Machine Learning Research Data Analyst, Ophthalmic Imaging, you'll play a
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. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae (CV) Statement of research interests Names of three professional
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Position Description Be You. Be Bold. Choose Duke. Postdoctoral Associate Human-AI Research Pipeline (HARP) | Duke University Department/Unit: Social Science Research Institute Anticipated Start
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Position Description Occupational Summary: The Critical Minerals Hub at Duke invites applications for a full-time postdoctoral associate to conduct cutting-edge research in critical minerals
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Be You. At Duke, we celebrate individuality and the unique perspectives that each member of our community brings. As the Postdoctoral Associate, you will join a collaborative and innovative research