384 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University in Australia
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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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. 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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Agentic AI. We are looking for candidates whose research focus is on the development of intelligent agent frameworks incorporating planning, memory, tool use, safety and evaluation methodologies, and neuro
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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groups in the economic analysis of health and health care. We have the highest concentration of economists working in health in the Asia-Pacific region and the largest Health Economics PhD program in
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computational techniques can be combined with classical systems to improve performance, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing
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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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provide high-quality operational and administrative support, oversee service contracts, ensure compliance with quality and safety standards, and contribute to continuous improvement initiatives. This is an
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions