408 parallel-computing-numerical-methods-"DTU" positions at Monash University in Australia
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University of Warwick (UK), explores the design and development of computational Decision Support tools to help us better manage the interactions between beneficial insects, such as bees, and the flowering
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This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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to implement these new methods Lead and contribute to high-quality research publications Engage with interdisciplinary teams and stakeholders Contribute to mentoring, proposal development, and capacity building
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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with overall user experience design by applying tools and methods to develop users’ digital and offline tasks, interactions and interfaces. The Software Developer will work effectively in the team
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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in experimental methods, along with excellent quantitative and qualitative research skills, and a solid understanding of psychological theories. About Monash University At Monash , work feels different
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images