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as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship We are seeking PhD candidates with high
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Lazzarini as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details section. About the scholarship Diabetes is the most rapidly growing
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copy the link to this scholarship web page into question two of the financial details section. About the scholarship Diabetes foot disease is a somewhat silent but leading cause of the world’s health
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models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
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This project seeks to pinpoint cellular and molecular epigenetic mechanisms that drive age-related immune-senescence and inflammation, critical to the decline in immune function and ability
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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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-based molecular biophysics project of medical significance, funded by the National Institutes of Health, USA. The Computational Biophysics Group develops advanced physical and chemical simulation
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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April Kartikasari via magdalena.plebanski@rmit.edu.au and april.kartikasari@rmit.edu.au . A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details