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, optimization, and delivery of digital learning solutions to enhance teaching, learning, and learner experience across the University. Key Responsibilities Support Edtech impact analysis and reporting, including
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
solutions Requirements: Master’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field. Strong foundations in multi-agent systems, NLP and python
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Engineering Design and Optimization Human Factor and Ergonomics AI-based Sensor Fusion Monitoring and Inspection using various sensors Optimization and control to implement sensors. Skills: FEM software (Comsol
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algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under
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effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling
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single‑photon performance. - Run theoretical simulations (FDTD or equivalent) to optimize structures. - Publish results, support grant deliverables, and collaborate/mentor within the team. Job Requirements
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transformation activities, optimizing system setups (such as SharePoint), developing Standard Operating Procedures (SOPs), and facilitating knowledge-sharing initiatives. Working closely with internal stakeholders
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Engineer to join SHARE@NTU Lab. The ideal candidate will work on developing and optimizing embedded software solutions for assistive robots. The role requires proficiency in embedded systems design, Robot
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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of samples. Prepare, mount, and align samples for CT scanning. Optimize scan parameters (voltage, current, exposure time, resolution) to achieve required image quality. Perform system calibrations and routine