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– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
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, sampling, optical aberrations and refractive-index mismatching. ● Provide first-line support for image visualization, 3D reconstruction, quantification and analysis using open-source and commercial software
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National Laboratory to accelerate materials discovery by integrating advanced 3D X-ray diffraction experiments, mechanistic modeling, and artificial intelligence. A powerful set of high-resolution 3D X-ray
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requirements. Provide support for in silico 3D reconstructions of gross brain images and tissue and fluid-based immunoassays. Required to use care and maintain instruments; perform preventative maintenance
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. Excellent written and spoken English. ADDITIONAL SKILL Experience with markerless motion capture, AI-based pose estimation, and multi-camera acquisition systems. Knowledge of computer vision, 3D
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the rise of generative artificial intelligence, 3D digitization, and immersive environments (XR). These technologies enable new forms of cultural production, including heritage reconstruction, interactive
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the lab is serial-section electron microscopy-based 3D reconstruction of neural circuits, integrated with behavioral data. This position offers hands-on training across multiple techniques (EM tissue
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
efficiency of 3D reconstruction. Specifically, the project aims to: i) actively and efficiently reconstruct multiple dynamic targets even in unknown scenarios; ii) address the case of articulated objects
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Mimics and Echopixel licenses for three-dimensional reconstruction and subsequent 3D model printing. The OR is equipped with a wide array of implant systems including multiple locking plate systems
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representations, and flow matching) for uncertainty-aware 3D reconstruction of coronary anatomy from 2D X-ray angiography; develop physics-informed neural networks and graph-based neural operators for fast