421 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" uni jobs at Monash University
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Ashton Nixon Scholarship Sir John Monash Scholarship for Achievement The Ashton Nixon Scholarship is supported by Associate Professor Rosemary Nixon AM to support undergraduate students embarking
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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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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. 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
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research project ideas and initiatives that lead to high impact collaborations and significant external funding. The Monash University-Museums Victoria PhD scholarship provides a top-up stipend to assist
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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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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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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the University. Enquiries: Professor Jenny Gamble, Professor of Midwifery, +61 3 9904 4640 Position Description: Senior Lecturer (Midwifery) Applications Close: Friday 20 February 2026,11:55pm AEDT Supporting a
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate