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development and application of a range of geochronological methods and mineral characterization techniques (primarily (U-Th)/He dating, U-Th disequilibrium and U-Pb dating, ToF-SIMS, etc.). The project will
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships
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PhD Scholarship in Generative Artificial Intelligence Job No.: 686325 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $36,063AUD per annum 2025...
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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resident • meet university PhD admission and English language requirements • not have previously completed a PhD • not be in receipt of another primary scholarship • be able to commence the program in
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manufacturing sectors into valuable products. The scholarship will support one student to work on the development of novel biomass based adsorbents for CO2 capture. A combined experimental and simulation methods
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of the scholarship, outlining your research project and how the scholarship will help you An annual report outlining the progress of research project (max. 1 page) Payment Method Annual stipend of $37,000 per year for
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sequelae of paediatric sepsis—encompassing physical, neurocognitive, emotional, and social impacts—follow-up care remains fragmented and inconsistent across healthcare systems. Our program is developing a