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model Assists the faculty mentor to program the industrial robot to acquire stereo images of objects from different perspectives using OpenCV libraries Generates 3D point clouds from each set of images
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point cloud analysis: Detection, Location and Segmentation with LiDAR sensors. Calibration of 2D and 3D sensors. Multimodal sensors: cameras, radar, and solid-state LiDAR. Specific Requirements
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, OpenCV), GPU computing (e.g., CUDA), SLAM and point cloud processing (e.g., PCL). Familiarity with ROS-based development and Linux software tools is considered a fundamental asset. (30
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independent judgment in problem solving, remain objective and represent differing points of view. Preferred Qualifications Experience with Oracle cloud based software or other ERP systems. Experience with
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for the following Post in the Technological University Dublin Post: Research Assistant B (Mixed Reality Developer) (School of Media) (Fixed-Term for up to 3 years with funding in place for 1 year) Reference: 465/2025
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intelligence. Trustworthy AI for 3D inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s
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inspection – applying AI to point clouds and meshes for defect detection. Additional research topics, combined with the bullets above, can be based on the applicant’s background and research interests
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interpreting 3D point clouds. Specifically for the purpose of deconstruction and material extraction, such a map needs to additionally contain the identification of valuable materials for extraction as
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visit the website at https://www.ucf.edu . Minimum Qualifications: MFA or terminal degree in an appropriate discipline (digital art, motion graphics, 3D visualization, film, animation, game design, or
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research and teaching interests align with one or more of the following critical areas: Computer Architecture – including In-/near-memory or in-/near-storage processing, circuit/technology impacts (e.g., 3D