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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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, Melbourne. We are seeking PhD candidates interested in developing methods to assist the formative assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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of honours students with rigour, warmth and empathy. At the time of his sudden passing, Dr Booth was supervising an honours student and two PhD students. Dr Booth was a mentor and friend to countless
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This PhD project will explore how individuals in a marginalised community in Australia access, create, and manage information and their preferences for oral, written or digital tools to preserve
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learning is vulnerable to spurious correlations, novel causal discovery and inference methods will be developed to identify and reason over causal relationships among all associations from fused data. As the
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modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data", Computational Ecology and Software, 2012, 2(3):140-159 Wallace, C.S
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time. In this project, we propose a method for identifying and classifying such emerging asynchronous trends. The goal is to be able to predict how a new emerging trend will develop using similar
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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