607 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Monash University
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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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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
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prediction). O3: Joint OOD detection + AL: Combine selection with OOD filtering/triage policies that decide what to label, what to defer, and what to reject. O4: Human- and compute-aware AL: Incorporate
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Science (C6009) - We have a number of scholarships available for this program between 30% and 50% of the tuition fees. Master of CyberSecurity (C6010) - - We have a number of scholarships available
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rounds per year Total scholarship value $37,145 p.a (2026 rate) Number offered Varies See details Bachelor of Biomedical Science Ilaria My scholarship has given me immense support financially, especially
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation
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Answering over Knowledge Bases. Journal of Web Semantics, 2020. Hua, Yuncheng; Li, Yuan-Fang; Haffari, Reza; Qi, Guilin; Wu, Wei. Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...