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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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focus on simulation, prototyping, lab testing and developing smart connectors for modular floating breakwaters. Key Responsibilities: Design and build connector models Simulation and optimization
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program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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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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: 25/02/2026 Job Description Algorithm Design and Core Development The central responsibility involves building a standalone program that houses complex optimization algorithms. These algorithms manage
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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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., battery systems, energy flows, simulations). Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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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