23 structural-engineering-"https:"-"https:"-"https:"-"https:"-"NOVA.id" research jobs at Duke University
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
structured education program. Level II- Candidates must be actively enrolled in a structured educational program and have completed at least 750 clinical hours or one-half of the required competencies
-
Duke University, Mechanical Engineering and Materials Science Position ID: Duke-MEMS-PDZHONG [#31728] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27701
-
Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date ● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image
-
, cross-national comparative analysis of real-world family structures, care utilization patterns, and well-being using multiple nationally-representative aging cohorts (e.g. Health and Retirement Study
-
, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19 05:00 AM UnitedKingdomTime, listed until 2026/06/20 04:59 AM UnitedKingdomTime) Position
-
is a full time one-year renewable appointment for a Postdoctoral Fellow with the Rural Health Equity Hub —an initiative spanning Nursing, Engineering, Divinity, and the Social Science Research
-
, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
-
Description The Levine Lab at Duke University is recruiting a full-time Postdoctoral Research Associate to join our group. We are broadly interested in understanding the forces that structure plant communities
-
] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/06 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position Description: Apply Position
-
data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental