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related to ammonia-based energy systems under the School of Mechanical and Aerospace Engineering. The roles of this position include: Develop and validate thermodynamic and process simulation models
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We are looking for a research staff who will be responsible for study of charge transport in tribovoltaic processes and the electromechanical properties of 2D piezoelectric materials for acoustic
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closely with other team members to develop OpenFOAM methods, processes and workflows; Develop and implement mesh, solver and post-processing methodologies to improve the efficiency and effectiveness of our
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and support to
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safety regulations. Job Requirements: PhD degree in chemical/environmental/material engineering Relevant research experience in membrane fabrication and process, desalination and water reclamation
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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selection, wafer-level process development, and reliability demonstration to deliver a manufacturable 3D-integration solution that supports NTU’s leadership in industry-relevant advanced packaging research
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Project Apollo. The role involves integrated photonic device design, fabrication process development, and system characterization. The candidate will mentor junior researchers, coordinate with industry