112 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Cornell University
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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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among Cornell University, Carnegie Mellon University, and the Massachusetts Institute of Technology. The NTO works closely with tutoring providers, school and district leaders, and education researchers
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Massachusetts Institute of Technology. The NTO works closely with tutoring providers, school and district leaders, and education researchers to create the world’s largest open-access dataset of tutoring
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across multiple ecologically relevant scales to inspire and inform the conservation of wildlife and habitats. Our highly interdisciplinary team of scientists, educators, engineers, students, and research
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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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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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To apply: https://academicjobsonline.org/ajo/jobs/31821 Applicants should submit: A CV A 1–2 page research statement describing research interests and how they relate to the Cornell Global AI Initiative Two
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit a CV, a cover letter that includes a
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. Strong analytic skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS