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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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quantum control without relying on detailed system models. In this project, you will develop RL and other machine earning-based methods to control superconducting qubits using measurement feedback. The work
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synthesis, mu-analysis and model-predictive control Experience in model identification, validation and uncertainty quantification based on experimental results Expert proficiency in the use of MATLAB/Simulink
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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models indicate that the thermal structure of the European lithosphere remained stable during the Mesozoic, potentially due to small-scale convection at its base. To evaluate this hypothesis, the study
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conditions. Prepare comprehensive technical documentation, including design and test reports, control models, test results, and source code. Support technology translation activities, including transferring
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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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(including ERG and OCT), development of additional functional assays, locally conducted histological analyses, and preparation of samples for collaboration with the Lyon-based team, including quality control
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models