135 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" "UCL" research jobs at Cornell University
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. The candidate will evaluate plant phenotypes, sample plant tissues, perform DNA extractions and metabarcoding library preparation, and analyze microbiome data. The candidate will also perform quantitative trait
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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">https://academicjobsonline.org/ajo/jobs/30767 . Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three references via the website. Applications will
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and at Cornell Tech in New York City. The goal of the program is to support groundbreaking research to develop the foundations of artificial intelligence, machine learning, computer vision, natural
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in the biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions
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at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful
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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 analysis of CMS data and will have considerable freedom in
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social science research on solar facility siting processes in New York State. This sponsored research project includes collaborators from institutions across the U.S. to examine 10 proposed solar projects
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module and assessment development and implementation: 50% Literature review: 15% Workshop development: 15% Data analysis and writing: 20% Requirements PhD in natural resources, environmental sciences
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required. Additional beneficial but optional skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit