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of data models such as logical / relational models, dimensional models and document models. Knowledge and experience with terrestrial and SLAM-based lidar data acquisition and data processing. Knowledge
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management, SLAM and perception, and/or AI applications in transportation engineering. Advanced analytical and problem-solving skills. Ability to conduct high-quality research and showcase research outcomes
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development programs that help early career researchers develop skills that will be valuable in their careers, whether in academia, industry, government, or at Berkeley Lab. Examples include the annual SLAM
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Research Competition, and Grad Slam. Coordinate all logistical aspects of the events, including venue arrangements, equipment, and catering; collaborate with division leadership to establish goals, timelines
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California State University, San Bernardino | San Bernardino, California | United States | 16 days ago
through CSU Pre-Doctoral Scholars Program, Graduate Equity Fellowships, CSU Forgivable Loans, CSU Student Research Competition, Grad Slam: Three Minute Thesis Competition, and other programs as
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are currently looking for a candidate for a full-time RA position in the SLAM (Speech, Language, and Music) lab at the University of Texas at Dallas (https://utd-slam.github.io/ ). This position is available
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. Yune S Lee and The SLAM (Speech, Language, and Music) Lab at the University of Texas at Dallas is seeking to fill a 2-year postdoctoral (Research Associate) position. The SLAM Lab aims to understand
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, control frameworks, robot coding, machine learning, mechatronics, human-robot interaction, Robot Operating System (ROS), SLAM techniques, and domain-specific robotics (e.g., agriculture, marine, aerial
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Learning techniques for object detection in images. SLAM/Localization: Using images and point clouds for Simultaneous Mapping and Localization and similar problems. Sensor Fusion and Calibration: Computing