307 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Monash University in Australia
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principles and safe work practices. High-level computer literacy and the ability to quickly learn and adapt to new systems. About Monash University At Monash , work feels different. There’s a sense of
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(plus 17% employer superannuation) Amplify the discoverability of Monash University Library resources Guide inclusive and reparative metadata practice Embrace continuous learning, leadership and strategic
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‘dynamic graphs’. Although recently many studies on extending deep learning approaches for graph data have emerged, there is still a research gap on extending deep learning approaches for identifying
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support committees, coordinate meetings, and ensure smooth operations, while demonstrating advanced computer literacy in systems such as TRIM and Visio. About Monash University At Monash , work feels
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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in complex environments including practical experience within a range of engineering and manufacturing technologies including both CNC and manual machining, electrical, hydraulics, woodwork
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systems. Learn more about minimum entry requirements . Primary supervisor Wai Peng Wong Apply now Supervisor Connect Supervisor Connect allows you to explore cutting-edge initiatives and find a leading
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learning The Opportunity Join the Australian Research Council (ARC) Centre of Excellence for the Elimination of Violence against Women (CEVAW) as an Administration Officer and play a vital role in supporting
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research in areas such as machine learning, clinical decision-support, medical imaging, and data-driven health services innovation. The position is expected to develop an independent research profile
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answering take a neural-symbolic approach and combine meta-learning and reinforcement learning techniques [1,2,3]. On the other hand, the generation of complex questions, the dual problem, is less explored