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their journey towards improved wellbeing and more meaningful lives Strengthens the capability and wellbeing of our staff Addresses the mental health and other causes of violence and complex problem behaviour
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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systems, tephrochronology, and Quaternary geochronology. These tools will be applied, for example, to study the dynamics of active caldera complexes (e.g., Toba in Indonesia and/or Cerro Blanco in Argentina
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complex public health issue underpinned by a range of environmental, commercial, social, and cultural factors. Alcohol use amongst young people has declined over the past three decades, however there has
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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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
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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
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop