520 embedded-system "https:" "https:" "https:" "https:" uni jobs at Monash University in Australia
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured
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Pharmacy and Pharmaceutical Science International Merit Scholarship Sir John Monash Fee Scholarship This scholarship is for international students committed to studying Pharmacy or Pharmaceutical
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many, receiving the scholarship is life changing. Beyond the financial boost, it provides lifelong access to valuable networking and leadership opportunities to help them reach their potential. Apply
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data
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desired. Preference will be given to candidates who have strong written and oral communication skills, as well as strong programming skills. It is desirable that the candidates already have research
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while generating text. Their performance on detecting salient features from visual data is also unclear. In this project, we develop a framework to generate faithful and salient text from mixed-modal data
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the research, development, deployment ,and use of AI systems in law enforcement (LE). A major focus is expected to concern the acquisition, use, sharing and governance of data for AI in this context. The Faculty
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preservation programs in marginalised communities. This project is only available for candidates based in Australia with experience working with marginalised communities in Australia.
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reporting. The research will be completed specifically in the context of novel AI-augmented gaming coaching and National Disability Insurance Scheme (NDIS) reporting methods for Crank Crew members with autism