11 structural-engineering-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Cornell University in United States
Sort by
Refine Your Search
-
Postdoctoral Associate in Engineering Education, Ithaca NY Pay Range: $62,232.00 - $88,745.00 Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering
-
research leader in engineering, informatics, public health, or health systems science To apply: Application materials must be submitted on-line through AcademicJobsOnline at: https://academicjobsonline.org
-
Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University
-
Postdoctoral Associate in Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell Joan Klein Jacobs Center for Precision Nutrition and Health Cornell University Cornell University is seeking
-
Cornell University, School of Chemical and Biomolecular Engineering Position ID: Cornell-ChemE-POSTDOC [#30598, WDR-00055411] Position Title: Position Type: Postdoctoral Position Location: Ithaca
-
associate to develop deep learning algorithms: 1) to model 3D protein complex structures and impact of mutations/PTMs on protein structure and interactions; and 2) to dissect functional elements (e.g
-
the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
-
Economics and Management. The intended start date of this position is January 15, 2025. The position will be based in Ithaca, NY. The MIXTAPE (Monitoring Impacts for Technology Adoption and Program Engagement
-
transferring ideas and technology – to advance knowledge and improve the human condition. Explore how we are tackling critical challenges at the forefront of biology and medicine, and shaping a healthier, more
-
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