117 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" research jobs at Cornell University
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development opportunities. (10%) Engage in ongoing academic and intellectual life within Natural Resources and the Environment, CALS, and Cornell University, and with all external partners. (5%) Participate in
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. Supervision Exercised The individual is not expected to supervise others. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30990 Qualified candidates should submit a short
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tenants at or below the poverty line, and tenants unable to be served by Legal Assistance of Western New York (including people in the U.S. without status). Conduct affirmative outreach to service providers
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relevant to the position. Academic Discipline (faculty pay ranges reflects 9-month annual salary) Unique applicable skills. Application Materials Required: Further Info: https://www.kicnano.cornell.edu
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position ASAP; immediate applications are encouraged. The target start date is Fall 2025. Interested applicants must submit the following documents via Academic Jobs Online: https://academicjobsonline.org
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
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staff. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30026 ). Qualified candidates should submit a short cover letter, curriculum vitae, contact information
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applications received before August 29, 2025 will be given full consideration, but the posting will stay open until the position is filled. Only complete applications will be considered. Please apply at: https
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community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification, transport
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Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science, information science