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research component from a recognised institution and in a cognate discipline. Have a strong interest in undertaking a three-year research project focused on Australian media use, which requires well
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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for all students. All relevant and qualified applicants will receive scholarship consideration without regard to race, colour, gender, gender identity or expression, sexual orientation, nationality
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: The proposed project aims to enhance the sustainability and transparency of the battery materials supply chain by integrating Environmental, Social, and Governance (ESG) criteria and Life Cycle Assessment (LCA
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of hydrogen migration through isotopic, noble gas and micro thermometric analyses of hydrogen-bearing inclusions. Eligibility: Applicants may include Australian citizens, permanent residents of Australia and
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Australian police custody and young people. The project is a component of Dr Shelley Walker’s Australian Research Council (ARC) Discovery Early Career Research Award (#DE240101056 ). The National Drug Research
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greenhouse gas emissions. Consumer food behaviour – what we eat and how much we waste plays a critical role. (e.g., in Australia, the biggest proportion of food waste is produced at the household level). To
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the areas of experimental and theoretical physics, synthetic, physical and computational chemistry, material sciences and related areas. The Opportunity The OPTEXC IRTG involves 20 academics in Australia and
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Roentgen’s Nobel Prize-winning discovery of X-rays enabled us to non-destructively image inside the body, birthing medical diagnostic imaging and revolutionising materials characterisation