464 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Monash University
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Technology: Theory and Applications, pages 123–149. Springer, 2010. O. Biran and K. McKeown. Human-Centric Justification of ML Predictions. In IJCAI2017, pages 1461–1467, 2017. L. Cavazos Quero et al.˙ Jido: A
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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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: Current student enrolled in an undergraduate degree in the Faculty of Engineering or other STEM faculties at a Monash campus in Australia. Are an Indigenous Australian ** **To be eligible you must provide a
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This project will explore the security and privacy challenges inherent in the tokenization of real-world assets (RWAs) using the blockchain technology. As industries increasingly adopt tokenization
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vibrant, including research expertise in performance, improvisation, composition, music technology, music education in jazz and improvisation, classical music, experimental music, and popular music. We have
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Brian Norton Community Leadership Scholarship Monash Leaders Scholarship The Brain Norton Community Leadership Scholarship will support a talented second year Engineering student, participating as
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Computation", NeurIPS 2019 - "Protecting Privacy of Users in Brain-Computer Interface Applications", IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019 - "Efficient and Private Scoring
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discover them The Opportunity The Department of Maintenance Technology Institute within the Faculty of Engineering is seeking a practical and detail-oriented professional to provide high-quality
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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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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning