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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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physics, chemistry or related engineering disciplines are encouraged to apply. To be eligible for this scholarship you must: have a first-class honours or equivalent in physics, chemistry, or related
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upcycling of spent metal oxide cathodes, particularly, high Ni-containing oxides, through chemical-mechanical approaches, ionothermal/molten salt methods, etc. Project 2 (2 PhD students): Direct Recycling
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the structure present in food systems dictates functional aspects such as digestion and release of nutrients. Working alongside other postdocs and students focused more on biological aspects of these processes
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Preparation, Surface Finish, and their effects using Stream Finishing Technology About the Role Are you ready to push the boundaries of smart machines, industrial automation, and advanced manufacturing? Join a
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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: Prof David Lewis and A/Prof Phil van Eyk School of Chemical Engineering School of Chemical Engineering Email: david.lewis@adelaide.edu.au ; philip.vaneyk@adelaide.edu.au Applying: Expression of
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outstanding research skills and/or high-quality publications. Criteria 3: Quality of research proposal (in this instance because the PhDs are aligned with an existing project, the focus will be on ability and
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the impact of metallic impurities of black mass on the DES 2.0 process, upgrading the DES 2.0 by developing new hydrophobic DESs with high selectivity. Project 2 (2 PhD students): Design and synthesis of high