101 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "TCAT Dickson" Postdoctoral positions at Cornell University
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches
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skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 ">https://academicjobsonline.org/ajo/jobs/31738 Applicants should
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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development studies, to ecology, to crop and soil sciences and science and technology studies, among other disciplines. The successful candidate will work closely with Professor Bezner Kerr to advance several
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undergraduate and graduate trainees as appropriate in the lab and field. This position will be funded by USDA NIFA Agricultural Microbiome Program. The individual will need to have the ability to drive to field
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in conducting experimental, computational, and comparative work to understand how changes in gene expression underlie insect diet specialization and sequestration. They will be expected to come to
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, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology, management, economics, applied statistics or related
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical