192 evolution "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University in Australia
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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of the development of connections in these biological neural networks and their spontaneous and stimulation-driven formation. These models will provide a framework for simulating and testing biological neural networks
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-time Duration: 4-year fixed-term appointment Remuneration: 4-year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package
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classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures Institute, has piloted the development
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to concentrate on my academics and professional development. My professional path has been greatly influenced by the opportunities it has created for skill development, including networking events and involvement
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design, contributing to our understanding of experiencing the human body as play. More information at http://exertiongameslab.org
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sensing equipment and theoretical work around play. For more information see http://exertiongameslab.org
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information see http://exertiongameslab.org
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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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applications for monitoring individuals' health, activities and social behaviour. Yet, there is a lack of common and standard guidelines in developing mobile sensing apps (from both software development and UI