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This project is supported by a full scholarship within the context of ARC discovery project DP240101215. Candidates with a background in Chemistry, Chemical Engineering and Materials science are encouraged to apply. Previous research experience involving catalysis, reaction design or liquid...
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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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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
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, and gas-liquid interface management. To overcome these limitations, this project aims to develop a next-generation electrolysis platform that integrates CO₂ capture and conversion in a single
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PhD Scholarship for a Design-Led Research Program on the Future of CT Imaging in Distributed Care Job No: 680923 Location: Caulfield campus Employment Type: Full-time Duration: 3-year fixed-term
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charge which provide an ideal interface between human-built devices (where signals are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical
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of innovation leaders with the skills to work at the interface of research and industry in Australia.The program will include:•admission to Queensland University of Technology's PhD program•supervision
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PhD Scholarship – Structural Aspects of Digestion Job No.: 679367 Location: Parkville campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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Degree by Research (HDR) project “Electromagnetically driven flows in electrolyte layers with free interfaces”. Funded by the Australian Research Council (ARC), this theoretical/computational project aims