650 embedded-system "https:" "https:" "https:" "https:" positions at Monash University
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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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This project is technical in nature and would suit a candidate with a background and interest in #Java programming, health informatics or health data (or a combination thereof). The primary aim
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This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof). One potential area of
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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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that are not well understood in biological systems, that are difficult or impossible to measure in real environments, can be accurately captured and understood using these techniques. We are especially