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underlying causal relationships that govern visual phenomena. This PhD project aims to address this limitation by focusing on causal representation learning applicable to computer vision. The outcomes
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Photogrammetry and Computer Vision.
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captioning. Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods and theory. Development of computer vision methods
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diagnostic imaging research by leveraging expertise in computer vision and image processing. You will be part of a supportive and inclusive work environment that values innovation and excellence. Additionally
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vision loss on a statewide basis. Incumbent will oversee work experience program for visually impaired students at the SD School for the Blind and Visually Impaired, by establishing and supervising work
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The Role: The PhD scholars (two) will work in the area of Distributed Quantum Computing as part of CSIRO’s Data61 Next Generation Quantum Graduates Program. The project will work with Deakin
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Application closing date: 28 June 2024 Short listed candidates informed: w/c 15 July 24 Interview Dates: w/c 29 July 2024 Offers made: early August 2024 PhD Start Date: October 2024 Project
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sensors, dedicated Image Signal Processors (ISPs) and software post-processing to implement computational photography [D21]. This thesis will explore ecodesign of smart vision systems as representative
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where appropriate. About You PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics Detailed and highly specialised knowledge and understanding of Computer Vision, Deep Learning
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vision loss on a statewide basis. Incumbent will oversee work experience program for visually impaired students at the SD School for the Blind and Visually Impaired, by establishing and supervising work