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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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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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Telescope, one of the world’s most ambitious radio astronomy projects. Working in a diverse, multidisciplinary environment, you will collaborate with experts across science, engineering, and project delivery
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. Attention to detail and the ability to maintain the accuracy of information from a variety of sources, including event data and engagement metrics. Good computer literacy across a wide range of programs and
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classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on
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. There is emerging evidence that exercise increases the effectiveness of these treatments as well. This research program is designed to better understand the specifics of exercise medicine prescription
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the organisation. About you: Degree in Computer Systems or Software Engineering (or related discipline) Experience in software development, including WPF and ASP.NET Core Familiarity with JavaScript frameworks
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ambition and leadership qualities in the field of Electrical and Computer Systems Engineering. The scholarship is provided by former Monash University Chancellor Mr Jerry K Ellis and Mrs Ann Ellis, and is