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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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people who discover them The Opportunity An exciting opportunity exists for a Research Assistant to join the Methods in Evidence Synthesis Unit at Monash’s School of Public Health and Preventive Medicine
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capital markets, financial modelling and valuations Exceptional management and leadership experience Highly developed numerical, conceptual and analytical skills, and technical expertise to resolve complex
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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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Zealand Intensive Care Research Centre (ANZIC-RC) – a world-leading clinical research methods centre based at the Alfred Hospital campus. The Opportunity We are seeking a motivated and skilled Senior
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research in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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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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Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $35,013 per annum 2024 full-time rate, as per the Monash Research Training Program (RTP) Stipend . Monash
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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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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