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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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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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, 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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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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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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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