105 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Cornell University in United States
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
apply: Application materials must be submitted on-line through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/30294 Through this website, applicants are to submit a curriculum vitae
-
comprehensive benefits package (https://hr.cornell.edu/understand-your-benefits/health-care/contract-college-health-care ) Location: Cornell University is in the city of Ithaca, NY. Located on the southern shore
-
. To be considered for this position, apply at https://academicjobsonline.org/ajo/jobs/31576 . For full consideration please ensure that your application is complete by February 15, 2026. Review
-
substantive housing law in New York State; and experience supervising or mentoring students. To Apply Please submit the following to https://academicjobsonline.org/ajo/jobs/31537 . Additional information may be
-
(HPC). • Experience with machine learning and network biology. • Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit
-
submitted electronically using the Academic Jobs Online website: https://academicjobsonline.org/ajo/jobs/31595 Letter of application Curriculum vitae (up to 6 pages) One portfolio (up to 20 pages) of research
-
support for the Postdoctoral Associate’s projects, and mentoring undergraduates in independent projects. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31538
-
. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31583 Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three
-
-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
-
modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas for migratory forest