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Title: Non-Student Research Assistant Employee Classification: Non-Pos Hourly Posting Code Campus: University of North Texas Division: UNT-Provost SubDivision-Department: UNT-College of Information
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quantitative survey, including building and managing the survey platform, launching it for a four-week data collection period, and ensuring effective monitoring and data integrity throughout. The position also
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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use parts of these models for planning or control, but they do not take full advantage of the structured, layered information such graphs so far. Therefore, our project aims to tightly integrate S
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 4 hours ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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displacement. Responsibilities Perform original and independent research on earth surface deformation assessment in Texas, the surrounding area of Texas, and elsewhere. Be involved in analyzing data collected
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Application Required Documents Curriculum Vitae Name and Contact Information of References Letter of Interest Number of References: 3 To start the Online Application process for this position, click the "Apply
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to tolerance, movement, and interaction. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate across
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and