222 model-predictive-control-"https:" Fellowship research jobs at Nanyang Technological University
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research fellow will focus on foundation model-based world model development for embodied intelligence, and
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control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: The Research Fellow will be in charge of modelling, simulation, and analysis for projects
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(MATHEMATIC MODELING OF MACROMOLECULAR ASSEMBLY) Key Responsibilities: Utilizing advanced techniques such as single-molecule imaging and super-resolution imaging Conducting quantitative protein biochemistry
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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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successful candidates will dedicate their efforts to the following specific research objectives: (1) Developing models for predicting the thermal runaway (TR), venting, and jet fire in a single cell with
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successful candidate will dedicate their efforts to the following specific research objectives: 1) Developing models for predicting the thermal runaway (TR), venting, and jet fire in a single cell with
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat