611 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University
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resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Mathematical Sciences Honours Program in the Faculty of Science at a Monash campus in Australia. Must
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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neutron stars" "Gravitational-wave cosmology: measuring the Universe without a distance ladder" "Building NEMO: The science case for a dedicated high-frequency gravitational-wave observatory" "Searching
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students who are experiencing difficult personal circumstances. This scholarship has been established by the Smith family in honour of the late Mr Michael John Smith, and his legacy as an egalitarian with a
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov
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I supervise projects considering the evolution of accretion discs and their connection to observations. In particular, I consider discs that are warped or distorted (not flat). This geometry has been directly observed in planet forming discs around young stars (protoplanetary discs) and is...
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ambition and leadership qualities in the field of Electrical and Computer Systems Engineering. The scholarship is provided by former Monash University Chancellor Mr Jerry K Ellis and Mrs Ann Ellis, and is
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch