17 structural-engineering-"https:"-"https:"-"https:"-"UCL"-"UCL" research jobs at Duke University
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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
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multiple affiliations. POSTDOCTORAL ASSOCIATE OPPORTUNITY Acharya Lab – Division of Structural Biology The Acharya Lab in the Division of Structural Biology at the Duke Human Vaccine Institute (DHVI), is
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19, listed until 2026/06/19) Position Description: Apply Position Description The Duke Quantum
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] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/06, listed until 2026/06/28) Position Description: Apply Position Description The Duke Quantum Center is seeking a
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, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2025/12/19, listed until 2026/06/19) Position Description: Apply Position Description The Duke Quantum
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Quinn Ostrom (Assistant Professor of Neurosurgery and Population Health Sciences) and Anoop Patel (Associate Professor of Neurosurgery, Biomedical Engineering, and Pathology. The Ostrom lab is focused
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Asokan lab (www.asokanlab.org) is affiliated with the Duke Department of Surgery, Molecular Genetics & Microbiology & Biomedical Engineering and is focused on the development and evaluation of novel gene
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Postdoctoral Research Associate to join our group. We are broadly interested in understanding the forces that structure plant communities and how they will respond to global change, and we seek a motivated
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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
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning