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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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support research works in COEB. The role will focus on developing the thermal nanophotonics, focusing on thermal radiation theory at nanoscale. Key Responsibilities: The Research Fellow will work on a
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Key Responsibilities: Conduct advanced research in Generative AI, focusing on the design, development, and
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Key Responsibilities: Conduct advanced research in Generative AI, focusing on the design, development, and
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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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in the development of advanced microfluidic devices using thermoplastics for biomedical applications, particularly gut microbiome research. This project integrates instrumentation control, biosensing
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate. Write, publish and disseminate results