Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Curtin University
- Monash University
- Swinburne University of Technology
- University of Adelaide
- La Trobe University
- Queensland University of Technology
- University of Southern Queensland
- Nature Careers
- The University of Newcastle
- ;
- AI & Cyber Futures Institute - Charles Sturt University
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Flinders University
- James Cook University
- Murdoch University
- 5 more »
- « less
-
Field
-
computers to large-scale multi-dimensional simulations on high-end supercomputers, depending on your interests and inclinations. "Modelling extreme supernova explosions: From fast and faint to bright and
-
My research interests focus on the stars - primarily their structure, evolution and nucleosynthesis. This can involve modelling of mixing in stars, or effects of changing nuclear burning rates
-
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
-
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
-
computational while other work will involve time spent in the lab. Search for physics beyond the Standard Model in penguin decays in data from the LHCb experiment. Identify particle identification requirements
-
, 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
-
I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
-
trail experts, and computational scientists. It is highly likely completion of PhD will lead to post-Doctorate research opportunities on data science and statistical modelling as either an extension or a
-
the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in
-
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