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back at least as far as 1954 (Dowe, 2008a, sec. 1, pp549-550). Discussion of how to do this using the Bayesian information-theoretic minimum message length (MML) approach (Wallace and Boulton, 1968
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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and quantum impurities. I was previously part of the Australian Centre of Excellence for Future Low-Energy Electronics Technologies (FLEET), where I led the theoretical effort on light-matter coupled
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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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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As humans we have the ability, and even the necessity of distinguishing between orders that are ethical, safe and necessary and orders that may be harmful or unethical. Theoretically this ability
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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experimental and theoretical research, contribute to HDR supervision, support teaching in mechanical engineering courses, and work collaboratively within a dynamic team advancing sustainable transport and
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16 Apr 2026 Job Information Organisation/Company SOUTHERN CROSS UNIVERSITY Research Field Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in