430 engineering-computation-"https:"-"https:"-"https:"-"https:"-"CESBIO" positions at Monash University
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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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, Faculty of Science or Faculty of Engineering at a Monash campus in Australia. Experiencing financial hardship .and be from a regional or remote area Benefits $10,000 per annum (48 credit points of study
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each year (subject to suitable applicants) one in the Humanities and Social Sciences (HASS) disciplines one in the Science, Technology, Engineering and Mathematics (STEM) disciplines Selection criteria
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. This is a very broad topic that allows the student to choose a scope (e.g. the nature of the technology, participant demographics, visualisation) of interest to them.
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in the Faculty of Engineering at a Monash campus in Australia. Demonstrating leadership through community and industry engagement. From one or more of Monash University's defined educational
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Monash Leaders Scholarships Monash Leaders Scholarships are awarded to applicants that demonstrate leadership and commitment to give back to the community through the Access Monash Mentoring program
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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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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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exciting, rewarding directions The Opportunity: We are seeking expressions of interest talented candidates who wish to apply for a PhD to undertake research in digital health technology and implementation
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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