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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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Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of an interdisciplinary team
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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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to design, analyse, and operate high-power and high-voltage electrical systems, ensuring safe, reliable, and compliant operation across our facilities. The candicate will work closely with the Principal
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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
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for a Research Fellow to develop and study novel wood-based membrane materials. The role will focus on wood processing, polymer functionalization, experimental design and characterization to develop novel
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and sustainability as they intersect with information and communication processes. Applicants working in other specialisations are encouraged to apply, provided they demonstrate a clear plan for a