1,910 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Duke University
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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab ( https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
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Profile Show More Options Loading... Clear Create Alert Apply now » Learning Technology Engineer Work Arrangement: Hybrid (On-Site and Remote mix) Requisition Number: 274544 Regular or Temporary
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Learning Technology Engineer - PT Work Arrangement: Hybrid (On-Site and Remote mix) Requisition Number: 274544 Regular or Temporary: Temporary Location: Durham, NC, US, 27710 Personnel Area
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affiliations. Be You. Be Bold. Choose Duke. 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
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. Be You. The Heaton Laboratory ( https://heaton.labs.duke.edu/ ), a member of the Duke Center for Virology ( https://sites.duke.edu/dukevirology/ ), is seeking a highly motivated Bioinformatician
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of computational biology, machine learning, and tissue biology. In this role, you will work closely with Dr. Yi Zhang and collaborators to develop and apply computational methods for analyzing
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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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development, implementation, and evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark
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analysis Familiarity with multi-omics data integration Experience applying machine learning or statistical modeling to biological datasets Experience working in cancer biology or related biomedical fields
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly