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, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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and testing, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring
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content and interface with the industry Ensure processes and procedures are executed in compliance to the University’s policy framework Constantly seek improvement for laboratory operations (e.g. reduce
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synthesizing thin-film composite (TFC) hollow fiber membranes Processing and modifying polymeric materials into the design of TFC hollow fiber membranes Characterizing polymeric TFC hollow fiber membranes
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domains and formal methods Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project