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technical writing, and consistent throughput from idea → prototype → validated results → publication-quality artifacts Job Requirements: Preferably Master in Computer Engineering, Computer
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directly with implementing and validating the research using AI, Robotics, 3D Printing and Digital Twins. Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive
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academic partners. To perform any other duties related to the research program. Job Requirements: Preferably a Master degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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advanced power electronics systems in flow-based energy storage. The role will involve participation in joint research innovation activities, as well as technology translation, management, and reporting. Key
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electronics, power engineering or related field At least 20+ years of relevant experiences in research management and technical hands-on experience in power electronics, power engineering and energy storage
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findings at conferences and journals in computer vision, multimedia, and signal processing. Job Requirements: Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or
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degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication
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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 undertake any other duties
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time