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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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stellar interiors, birth properties of black holes and neutron stars, supernova light curves and spectra, gravitational waves, neutrino astrophysics, the production of heavy elements stellar explosions, and
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marks and a research component in a relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines
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degree, or a Master's degree with top marks and preferably a research component in a relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how
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AI infrastructure. The Opportunity This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi
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assessment, the selection committee will prioritise applicants who hold an Australian (or equivalent international) Honours or Master’s degree (both in a relevant field), with a significant research component
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year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package of $13,000 per annum A 60 day Industry Engagement component
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analysis to extract processing-structure-property relationships and support predictive process optimisation. The project sits within Monash's broader ambition to build physical-digital capability