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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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, reduce resource waste, and create scalable mental health interventions, advancing national sustainability and education priorities. Value • Stipend of AUD $47,020 • Maximum period of tenure of an award is
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of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project will contribute to MSE’s strategic research initiative on accelerating Australian green ironmaking
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the Department of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project forms part of the Baosteel–Australia Joint Centre (BAJC) collaboration and will investigate
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organisations, the Institute delivers practical solutions and strategic insights across technology, policy, markets, and societal impact. From advanced energy materials and emerging technologies to shaping future
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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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the value of the spent battery materials. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by Research
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) and complete any other CSIRO requirements. Ideally, the applicant will have a bachelor degree in chemistry, chemical engineering, material science or engineering or relevant fields. Preference will be
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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