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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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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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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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involve conducting large-scale data synthesis projects to better understand the drivers of urban metacommunities and biodiversity patterns. In particular, the lab is interested in understanding the drivers
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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
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and studying the phenological migration behavior of small insects using the terra-mobile platform on the Salter Research Farm. Analyze data and summarize results by writing scientific papers
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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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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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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