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knowledge program analysis, fuzzing, software testing, natural language processing
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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leading medic-legal and engineering researchers on real-world crash data Join Australia’s only academic department embedded in a forensic medicine institute The Opportunity Are you a proactive early-career
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applicants): one in the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Monash scholarships are highly
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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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their potential at Monash University. The scholarship program amplifies diversity in STEM through empowering scholarship recipients to achieve academic success. Total scholarship value $6000 Number offered 10 See
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological insulators and Weyl semimetals. The former favours quantum states of matter (e.g. excitonic...
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the environment and drives innovation. This role is focused on growing philanthropic support across several of Monash’s world-leading faculties, including science, engineering and information technology. You don’t
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We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on. We can model these relationships