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in primary care research and an understanding of qualitative and quantitative research methods with a focus on health policy, digital health and/or quality use of medicines will be an advantage. About
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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of bioarchaeology and bioarchaeological methods and a basic understanding of human bone histology, particularly microscopic structures and how they relate to bone growth. Experience of working in a research
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and conduct laboratory experiments to optimise geopolymer formulations. Experience with durability testing methods and mechanical property evaluation of cementitious materials. The selected candidate
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AI technology and fostering foundational research into new machine learning methods while exploring real-world application in finance and other industries. For CommBank, this research could unlock
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You A PhD in the field of polymer chemistry/physics. Experience in preparation of complex polymeric structures using modern synthetic methods. Expertise in polymer characterisation including high
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high pressure environment. Well organised with thorough attention to detail in the recording of research methods and results Commitment to upholding the University’s values, and with the outstanding
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. The Fellowship program has a strong international element so we encourage young Australians with a global perspective to apply. Application process Program Timeline Applications Open: 17 November 2024 Applications
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community, check out our Twitter and Instagram . We have a reputation for international leadership and innovation, focused on developing new methods, whether experimental, analytical or computational. Our
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optimisation models (e.g. using MiniZinc) and solving methods to demonstrate the transformative potential of optimisation technology in this application. Collaboration will be key, as you’ll join the DSAI’s