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will work in world‑class laboratories in the New Horizons building at Monash University, with opportunities to conduct experiments at the Australian Synchrotron and partner synchrotrons worldwide
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
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neuro-symbolic causal world models that combine LLM-based hypothesis generation with structured causal graphs, building on iterative and integrated verifiable causal discovery from non-tabular sources [3
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discovery. While deep generative models have shown promise in proposing novel molecular structures, they typically require massive, cleanly labelled datasets to train effectively. In practice, acquiring high
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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structure. MML constructs a two-part message consisting of an assertion (describing the model and its parameters) and a detail (encoding the data given the model). The total message length, measured in bits
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
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with the industry partner A structured professional development and training program to develop your applied research skills The project is entitled “Project 2: Techniques and Frameworks for Enabling
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PhD Scholarship: The Economics of Mental Healthcare Markets, Centre for Health Economics, Monash Business School Centre for Health Economics, Monash University Location: Caulfield campus Duration