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The PhD candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, column leaching, and mining site environmental science through hands-on experiments as well as collaborations with CSIRO Mineral Resources experts. The PhD candidate will gain...
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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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technological solutions for the recycling of waste heat in specific food industry settings, using computational fluid dynamics modelling, lab experiments and field work To disseminate finding in high impact
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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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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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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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cutting-edge computational approaches using Australian and American supercomputers, alongside single-particle cryo-electron microscopy and functional experiments. The work is expected to be high impact
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example, a Research Training Program (RTP) scholarship or other primary scholarship of similar value; not be in receipt of any other Top-Up scholarship; be available to commence with CSIRO prior to 30 June
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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enjoy a 12-week specialised training program that will enhance your industry engagement and collaboration skills. There is a high likelihood of continued employment with a competitive numeration at APV