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anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s
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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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and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections
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members to ensure all 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
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responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day
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members to ensure all 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
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stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Job Requirements A good Bachelor’s degree or Master’s/PhD degree in Robotics, Mechanical/Electronics Engineering, Computer
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Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB
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a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Design and develop robust and scalable game agents to navigate and
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acquisition, software development, and day-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms