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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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: Contribute to the design, manufacture and delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as
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. Knowledge or experience of Robot Operating System (ROS), tools for training and using deep learning algorithms and in image processing and computer vision algorithms and solutions using open-source software
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the below selection criteria (maximum 2 pages): Completion of, or working towards, a degree or certificate in Accounting/Finance and/or relevant experience. Strong computer skills including Microsoft
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Remote Sensing, Computer Vision, Machine Learning, Plant Science, Agriculture or related field and extensive relevant experience, or an equivalent combination of relevant experience and/or education and
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. The Scholar will conduct computer-based mapping of the osteocyte lacunocanalicular network within bone from young and aged bone imaged by confocal laser scanning microscopy. The osteocyte lacunocanalicular
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems
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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics