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from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and
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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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the project manager and hardware team (internal/external) to align the imaging system outputs with the AI processing requirements Job Requirements: Bachelor’s or Master’s Degree in Engineering, Business
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to support the research for the project titled: Automated IC Recognition and Verification from PCB Images. The objective is to design and develop computer vision techniques to analyse multi-modal PCB
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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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for further development. Mentor students Job Requirements: Master’s degree in civil engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written
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functional neuroimaging programming tools such as E-Prime and Psychopy. Experience with image processing software for functional neuroimaging. Hands-on experience in teaching activities involving EEG, fNIRS
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in the preparation of computer images for virtualization streaming to lab PCs. Support lab supervisors in conducting quiz sessions or assessments. Ensure quick response to equipment failure by
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research