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image diagnosis. The expected outcomes are development of a software prototype, technical advancement in medical image diagnosis and the creation of novel AI algorithms. Potential project benefits
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This PhD project aims to mitigate the data scarcity of new NLP and Multimodal applications by developing novel active learning algorithms. In this project, the student will leverage large foundation
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The Adelaide Graduate Research School (AGRS) and Hubble are partnering to create 2 remote internship opportunities for University of Adelaide PhD students, to contribute to various projects. Hubble
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optimization. -- Identify factors that contribute to the robustness of training algorithms against local minima and explore potential improvements. • Objective 4: Architectural Designs -- Evaluate the impact of
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-class or H1 honours degree in Computer Science, Engineering or equivalent in a related discipline. Applicants must satisfy RMIT University’s PhD entry requirements. Applicants must have a first-class or
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This is one of our CSIRO Next Generation AI graduate programme PhD projects with Future Wellness Group: https://www.monash.edu/it/ssc/raise/projects/personal-future-health-prediction Note: *** Must
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will provide new models and algorithms for energy-transport integration, advancing the knowledge of mitigation strategies for sustainable urban development. #sustainability PhD student role description
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic