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This project will involve epidemiologic analysis of Flu-Tracking to explore how symptoms of acute respiratory infection have changed over time, who is most impacted, and where they seek care
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Over recent years, the research of the Cancer Signalling Research Group and their collaborators has uncovered therapeutic vulnerabilities in diffuse midline glioma (DMG), a uniformly fatal, paediatric, adolescent, and young adult (AYA) brain tumour; the most common cause of cancer-related death...
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This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational chemistry. Rare
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for understanding questions in geometry and physics. This scholarship is part of an Australian Research Council Discovery Project that aims to develop techniques for the design and analysis of highly nonlinear
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Marcus Jefferies Available to: International students PhD Eligibility Criteria Interest in construction health and safety research. Experience in quantitative research and data analysis. Experience of work
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related discipline Extensive lab experience is required, especially with bulk materials handling Knowledge of iron ore granulation and sintering is desirable Strong data analysis skills in Excel and Matlab
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This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise interventions and
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motivated, independent student with a 1st class Honours (or expected) degree or equivalent (e.g. Masters degree). The focus can be on modelling and/or observational data analysis, depending on the strengths
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component provided by the industry partner a professional development training program. A tuition fee scholarship for four years. Scholarships also include up to $1,500 relocation allowance. Supervisor: Prof