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with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics • Familiarity with image annotation tools and dataset iteration workflows • Contributions
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
Posting Information Posting Details Department Epidemiology - 463501 Posting Open Date 08/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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researcher will work directly with Dr. Fei Chen on analyzing data from genetic association studies, which includes GWAS and/or sequencing data from large-scale genetics consortia such as the RESPOND Study, UK
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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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pregnancy cohort, a large, longitudinal study based in Durham, North Carolina, to investigate how prenatal and early-life environmental exposures influence immune-related outcomes during pregnancy and early
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occasional travel and a requirement to spend a few months a year at our secondary location, Riverside, California. We are seeking a postdoctoral candidate with experience in EEG data acquisition and analysis
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independently but is expected to work well in a large collaborative team with researchers from NREL, academia, other national labs, and industry partners. The successful candidate will be able to: Work safely and
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and