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computer vision researchers. Analyze large multimodal datasets (simulator videos, eye-tracking videos, joint motion trajectories). Lead and co-author manuscripts and conference presentations. Opportunity
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candidate will participate in RNA project for structural characterization of RNA by SAXS, x-ray crystallography, and Cryo-EM. The main role for the project is to produce RNA samples in large scale by using in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC's IE that is
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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. Responsibilities Data Analysis Performs hypothesis-driven computational research with a clear understanding and use of controls. Uses computational methods to analyze large-scale sequencing data and formulate
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oceanography with demonstrated strengths in large data analysis, multivariate statistics, acoustic theory, and optical theory. The position will be primarily located in the Lewes Campus of the University
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modeling. Brief Description of Duties: The Postdoctoral Associate will assist the Principal Investigator Dr Fang Luo in the Department of Electrical and Computer Engineering . The incumbent will conduct
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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significantly to several experimental programs planned at these facilities. The position also includes participation in experimental campaigns and the analysis of resulting data. Principal Duties and
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interpreting mass spectrometry and mass spectrometry imaging data. Git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large