370 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Monash University in Australia
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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music technology have allowed us to remap the connection between our bodies and sound. Though music and movement have always been intrinsically linked, the rise of the laptop DJ broke that nexus. At worst
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Relevance, quality and achievability of projects to the Monash-Museums Victoria collaborative research
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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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compliance assurance program across the Monash Group, working in close collaboration with central portfolios, controlled entities and faculties to ensure that Monash complies with its regulatory and other
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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...
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the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Monash scholarships are highly competitive and are awarded
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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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Technology: Theory and Applications, pages 123–149. Springer, 2010. O. Biran and K. McKeown. Human-Centric Justification of ML Predictions. In IJCAI2017, pages 1461–1467, 2017. L. Cavazos Quero et al.˙ Jido: A