472 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University
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, augmented virtual reality, voice assistance, and medical diagnosis. This new paradigm is further accelerated by AI chips and ASICs embedded on mobile devices, e.g., Apple’s Bionic neural engine. Compared
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, the candidate will work with leading researchers in IT and engineering, access world-class research resources, learn state-of-the-art techniques, such as spatio-temporal data analytics, stochastic optimisation
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team to ensure the look, feel, and usability of online curriculum systems for the MD program Collaborate globally: Work with teaching teams across Victoria and Malaysia to ensure a seamless, world-class
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exciting, rewarding directions The Opportunity: We are seeking expressions of interest talented candidates who wish to apply for a PhD to undertake research in digital health technology and implementation
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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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in the Faculty of Engineering at a Monash campus in Australia. Demonstrating leadership through community and industry engagement. From one or more of Monash University's defined educational
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In