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Field
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performance checks. Monitor scans and troubleshoot basic operational issues during imaging. Reconstruct CT scan datasets using appropriate reconstruction software. Perform image processing, segmentation, and
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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-on experiences in software design and implementation using Python, C/C++, and Matlab, under Windows and Linux environment, Strong communication skills, and ability to work independently and with
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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challenges of intelligent biosensor-based monitoring; • Develop software components for real-time data collection, processing, and visualization, contributing to more effective decision support systems
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specify a robust and scalable technological solution aligned with the current challenges of intelligent biosensor-based monitoring; • Develop software components for real-time data collection, processing
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mechanism analysis, electrothermal modeling, and structural design to enhance device performance and capability. Perform software & hardware validation using simulation tools and converter experiments
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-reduced-order model. (4) Developing software for transferring the modeling with a simplified User Interface. Key Responsibilities: Actively support the Principal Investigator in project R&D, management