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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
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focused on the discovery and development of advanced materials for energy storage applications. Based within Applied Chemistry and Environmental Science in the School of Science at RMIT University, the role
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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for the duration of the award. Scholarship Details Maximum number awarded 3 Eligible courses Doctor of Chemistry https://study.curtin.edu.au/offering/course-research-doctor-of-philosophy---chemistry--dr-chem
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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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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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here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging this separate application, applicants acknowledge: The ‘Supervisor confirmation’ must refer to the application
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, preparing relevant educational materials, performing fundamental aspects of clinical research work, working with clinicians, academics, and youth mental health service providers, and contributing
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the Department 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
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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