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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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development and delivery of high-quality learning experiences across undergraduate and postgraduate programs. Drawing on academic expertise and industry engagement, the position supports the University’s
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage threatened species and ecosystems, and to control invasive species and diseases. This requires a...
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publicly available datasets; 3) Proposing algorithms aimed at improving the accuracy of human activity detection; 4) Implementing these algorithms, evaluating their performance empirically, and comparing
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. National Road Safety Partnership Program (NRSPP) offers a collaborative network to support Australian businesses in developing a positive road safety culture. It’s about saving lives without the red tape
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them The Opportunity Monash University is seeking a dedicated Senior Gender-Based Violence Project Officer to lead high-impact initiatives within the Safer Community Unit. In this pivotal role, you’ll
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Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a crucial role in preventing the onset or progression of diabetes. A large number of mobile apps have...
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expertise in advanced econometric techniques, data modelling, and statistical analysis. The Master of Applied Econometrics program combines rigorous coursework with hands-on experience, equipping you with
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, such as a research masters or honours year to meet the selection requirements into the doctoral program (see Monash University PhD entry requirements ) Be enrolling full-time and on campus Not already hold
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems