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digital techniques for advanced process control, including but not limited to: AI-enabled smart sensors Digital twinning Remote Operations and Security Novel communications technologies for mobile assets
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title or number. Contact for Enquiries Only Prof Leigh Johnston and Prof Michelle Watt Tel +61 3 8344 1940 Email l.johnston@unimelb.edu.au or watt.m@unimelb.edu . Please do not send your application
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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. With the widespread adoption of ML algorithms for data analysis and decision-making, preserving the privacy of individuals' data has become a paramount concern. The project focuses on exploring
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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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Prof Zongping Shao’s research lab, and are also available in WA School of Mines (WASM). The proposed research is strongly aligned with the hydrogen energy technology research at WASM. The success
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degree at Monash, please click here . Training, travel and supervision The successful candidate will work under the supervision of Prof Dennis Petrie , Monash University and Dr Gawain Heckley (Lund
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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Mobile and continuous health monitoring has seen major advancements in recent years. The capabilities of current mobile phones and their built-in sensors have inspired many mobile sensing