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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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. Your new role The successful candidate will contribute to cutting-edge research in multi-drone path planning and image processing for methane emission measurement. This is an exciting opportunity to work
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accordance with set standards, for content updates, including changes to text and images, uploading documents etc, to Student Services web pages Facilitate online and face-to-face training for core content
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Therapy/Medical Imaging to significantly influence the delivery and development of the Bachelor of Science (Medical Radiation Science) program. This role is essential for maintaining our high standards in
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enhancing its visibility and reach to target audiences. Work closely with visual designers and multimedia specialists to integrate visual content such as images, videos, and infographics into the user
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capture from the atmosphere. Central to this endeavour is the enhancement of gas separation performance in cyclic gas adsorption/desorption processes, achieved through the design and development of 3D
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test the sensors and actuators used in the system. Develop the sensor calibration protocol and mechanisms. Develop the control software. Develop the automated system prototype and test it. Optimise
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images of drill cores and cuttings. They will be involved in dataset acquisition, including core/cuttings preparation, imaging, and labelling. Computer vision algorithms, such as R-CNN, YOLO, SSD, will be
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intelligible, common experiences of suffering. Iconic images, those with a high impact, circulation, and recognition value, have come to underpin knowledge about world historical events. Scholars have turned
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into electricity grids while maintaining grid stability. Project Description: This project aims to design and prototype a multi-port commercial scale converter for efficient grid integration of photovoltaic