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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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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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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
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forward for a School-funded scholarship. Expertise in Human-Computer Interaction and Human-Centred Computing. Interest in Human-Centred AI and Social Computing. Aspiration to publish in leading venues
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . The Opportunity Gain experience working with industry to solve real-world problems while you earn your
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This scholarship, with the Computational Biophysics Group in the RMIT's School of Science (Physics Discipline), provides an opportunity for a talented student to undertake their Ph.D. on a computer
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The CSIRO Industry PhD Program is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims to produce the next generation
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participating university PhD admission requirements. c) Meet university English language requirements. d) Not have previously completed a PhD. e) Be able to commence the Program in the year of the offer. f) Enrol
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Child Safety CSIRO is committed to the safety and wellbeing of all children and young people involved
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the National Institutes of Health (NIH). It will employ cutting-edge computational approaches using Australian and American supercomputers, alongside single-particle cryo-electron microscopy and functional