454 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Monash University
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes
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This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data
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significant step forward in machine translation capabilities. However, "NMT systems have a steeper learning curve with respect to the amount of training data, resulting in worse quality in low-resource settings
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programming skills and a good background in maths. This project would set you up for a follow-up honours project in this area. https://github.com/cormackikkert/CEGARBox https://github.com/cormackikkert
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complex mathematical problems. Click her for more details or to apply Where to apply Website https://careers.pageuppeople.com/513/cw/en/job/687653/research-fellow-in-fracti… Requirements Research
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career trajectories. The goal is to design better incentives for scientists to produce their best work. Our research group studies how groups of agents can learn to cooperate. Most of our research focuses
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health
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based on matched-filter statistics. Detecting the unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis