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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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are made where and when; supernovae (mechanisms and nucleosynthesis); gamma-ray bursts and their progenitors; modelling of Type I X-ray bursts and superbursts (thermonuclear explosions on the surface
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health economics ; economic behaviour, incentives and preferences in health ; and, economic modelling of health policies and technologies . Employment prospects PhD graduates from the Centre for Health
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and/or background checks required for the role, as determined by the University. Eligibility requirements: Candidates will need to fulfil the Monash University minimum requirements for admission to a
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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, spectroscopy, astrometry) using massive optical telescopes on Earth and in space (e.g., Hubble, Gaia, JWST, Kepler, TESS). My group develops cutting-edge models to extract the most from noisy data and to better
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of Information Technology (FIT). The precise details of the PhD project are open to negotiation, but it should be designed with the aim of making a positive difference to the life experience of people with disabilities
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formed? Why does the velocity distribution of hypervelocity stars ejected from the Galactic centre not match expectations? How are the birth masses and natal kicks of neutron stars and black holes