21 structural-engineering-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Duke University in United States
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, 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
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, 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
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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
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, 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
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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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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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. Veronica Ciocanel (Mathematics, Duke University) • Dr. John Hickey (Biomedical Engineering, Duke University) • Dr. Jessica Conway (Mathematics & Biology, Penn State University) • Dr. Elliott SoRelle
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, Biostatistics/Statistics, Mathematics, Biomedical Engineering, or a related field by the start date. Skills: We welcome candidates grounded in one or more of the following: Generative AI/transformers, agentic AI
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induced by radiation, focusing on mechanisms of regenerative reprogramming and stromal-epithelial interactions. Complementary approaches will be used, including genetically engineered mouse models
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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