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to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity. Students will have the opportunity
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the Research Internship Agreement. Candidate Profile This internship is suited to HDR candidates in medicine, psychology, allied health, or clinical informatics with strong quantitative skills and an interest in
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Merit Based Value CSIRO shall award the student an iPhD Program Scholarship annually (GST exempt), starting at $35,020 in the first year, indexed at 3% annually, for a maximum of 4 years. This is
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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CSIRO IPhD Scholarship - Investigating the interactions between sulfide minerals and in-situ recovery fluids for sustainable copper mining The CSIRO Industry PhD Program (iPhD) is a four-year
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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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, up to three Australian Government Research Training Program (RTP) scholarships will be available for commencement in 2025. For further information about eligibility and selection criteria and application open
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Transform the Future with AI - Apply for the RAIR Centre Scholarship An extraordinary opportunity awaits at the cutting edge of artificial intelligence research. The Responsible AI Centre Scholarship opens doors to groundbreaking research that will shape how AI impacts society. Based at the...
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this philanthropic commitment, the university has established a dedicated brain cancer team under the leadership of Prof Michael Fay, that will drive a program of research to improve the lives of people affected by
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and