286 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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applications for a fully funded PhD scholarship to work on a cutting-edge research project supported by the Australian Research Council. This project focuses on polarons—quasiparticles representing impurities in
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project management skills. Candidates with strong skillset, including familiarity with structural health monitoring, computer vision and machine learning are desired for this project. Must be eligible
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The Adelaide Graduate Research School (AGRS) and 2XE are partnering to create an internship opportunity for University of Adelaide PhD students, to contribute to the organisation's sustainable
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Position overview:We invite highly motivated candidates to apply for a PhD position in Seismology at James Cook University (JCU), one of Australia’s leading research institutions located in tropical
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PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
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-performance computing (HPC), Bragg Crystallography facility, and Adelaide Proteomics Centre. Our collaboration with Monash University further extends our access to advanced 300 kV Titan Krios and Helios 5 UX
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/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform