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interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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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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within the Centre of Excellence for Astrophysics in 3D: ASTRO 3D. As a member of my group, you will have the opportunity to interact with astronomers across Australia and the world, in fields as diverse as
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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics
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the energy market, Role of EVs in the grid, Power System Stability Analysis Using Machine Learning Techniques and more. Eligibility Requirements: Applicants must be Australian citizens or Permanent Residents
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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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