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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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. This opportunity suits a proactive and organised professional who enjoys working in a regulated research environment, values high-quality data and participant safety, and thrives in a role that balances independent
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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of accomplishment in developing and executing fundraising strategies within a large and complex organisation, with a strong record of securing significant funding from foundations and private donors in
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
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, navigate ambiguity and lead through change. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming
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to contribute towards education related expenses. Scholarship Details Eligible courses Be enrolled in any of the following courses: Bachelor of Computing (Computer Science, Cyber Security or Software Engineering
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technologies in the national interest, including areas aligned with defence, security, and emerging engineering capability. You will contribute to the education of future-ready engineering graduates while
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operations including site activation, patient recruitment, data and biospecimen collection, safety reporting, monitoring, and close-out activities. Manage relationships with external research organisations