463 data-"https:" "https:" "https:" "https:" "https:" positions at Cornell University
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research. For more information about Cornell Tech, please visit our website at: https://tech.cornell.edu . Interested applicants should submit a cover letter, curriculum vitae, and a teaching statement
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, United States of America [map ] Subject Areas: Microbiology / Microbiome Data Science / Data Analysis Molecular Biology Biochemistry Salary Range: $62,232 to $88,745 Appl Deadline: (posted 2026/03/23 04:00 AM
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implementation: 50% Literature review: 15% Workshop development: 15% Data analysis and writing: 20% Requirements PhD in natural resources, environmental sciences, environmental policy, ecology, sustainability
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experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions, insect herbivores, and natural history is
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participate in Association Board or committee meetings, as appropriate. Perform technical aspects of accounting data entry and functions according to established procedures and policies. The finance coordinator
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, 2026. Application Procedures: The following application materials must be submitted via Academic Jobs Online (position #31797) https://academicjobsonline.org/ajo/jobs/31797 by April 10: 1. Cover letter 2
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be conferred by August 1, 2026. Application Procedures: The following application materials must be submitted via Academic Jobs Online (position #31797) https://academicjobsonline.org/ajo/jobs/31797 by
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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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