7 phd-data-analytics Postdoctoral positions at Cornell University

  • Cornell University | Ithaca, New York | United States | 5 days ago

    the context of anthropogenic stressors. Research Context and Opportunity: The postdoc will have the opportunity to leverage many years of bat viral spillover data collected in the field and the lab to examine

  • Cornell University | New York City, New York | United States | about 6 hours ago

    developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent

  • Cornell University | Ithaca, New York | United States | 20 days ago

    analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data. Receiving

  • Cornell University | New York City, New York | United States | about 23 hours ago

    in the context of anthropogenic stressors. Research Context and Opportunity: The postdoc will have the opportunity to leverage many years of bat viral spillover data collected in the field and the lab

  • Cornell University | New York City, New York | United States | about 22 hours ago

    quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data

  • Cornell University | New York City, New York | United States | 8 days ago

    in the context of anthropogenic stressors. Research Context and Opportunity: The postdoc will have the opportunity to leverage many years of bat viral spillover data collected in the field and the lab

  • Cornell University | New York City, New York | United States | about 2 months ago

    . Model, communicate, and champion the Lab’s values and culture. Requirements PhD in (quantitative) ecology or biology, applied statistics, or a related field with strong background in data science

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