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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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to contribute to novel encapsulation methods, optimize formulations, and characterize systems using advanced analytical techniques. You will collaborate with interdisciplinary teams to explore applications in
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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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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on innovative projects advancing economic evaluation methods and policy The Opportunity Join our collaborative team as a Research Fellow in health economics and contribute to high-impact projects that inform
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computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
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research programme focused on the Impact of Human Futures on Australia’s Net Zero and Digital Transitions, funded by a Prestigious five-year Australian Research Council Laureate Fellowship awarded
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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