27 machine-learning Postdoctoral positions at Duke University

  • Duke University | Durham, North Carolina | United States | 5 days ago

    , generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    , or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control the dynamics of microbial communities in time and space. Ongoing projects

  • Duke University | Durham, North Carolina | United States | about 1 hour ago

    Overview We are seeking a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning (AI/ML) to join our interdisciplinary team at Duke University. The postdoc

  • Duke University | Durham, North Carolina | United States | 27 days ago

    biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    and as part of a collaborative, interdisciplinary team. Commitment to publishing research and pursuing a career in academic or translational research. Experience with statistical modeling, machine

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    , including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and

  • Duke University | Beaufort, North Carolina | United States | 2 months ago

    , establishment of a seagrass farm, and monitoring of a large living shoreline project. In addition to research, the post-doctoral scholar will be required to teach a 4-5 week-long field course each spring semester

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