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, which have the clinical value in the real-world employment. • To develop novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth estimation, etc
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and analysis of soil and vegetation characteristics Participate in drone surveys and process and analyze 3D data Collect and analyze dust samples (MWAC samplers) Maintain automated erosion and
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may include, but are not limited to: Artificial Intelligence and Machine Learning in Art History Museums, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality
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. For admission and curricular evaluation purposes, proven skills in programming, preferably Python and/or C++; computer vision; computer graphics; real-time 3D rendering; 3D Gaussian Splatting, Mip-Splatting, LOD
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal
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. Familiarity with multimodal sensing technologies, including RGB imaging, thermal imaging, 3D vision, or other non-destructive inspection methods. Experience with edge AI, real-time inference, or MLOps
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, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation
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Join the Hyundai-NTU-A*STAR Corporate Lab and contribute to cutting-edge R&D in AI, Robotics, 3D Printing, and Digital Twins for advanced automotive manufacturing. This role focuses on developing
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Engineering or equivalent. Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top-tier machine learning or computer vision
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Generate 3D models of human skin Train undergraduate and graduate students and other relevant lab members in techniques and the scientific method Prepare data reports for weekly meeting with PI and bi