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or nats, balances model complexity against goodness-of-fit. It is essentially a formal implementation of Occam's razor. A key advantage of MML is that the message length provides a universal gauge for
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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rate with annual indexation) FIT Candidature Funding of $4,000 for the duration of the candidature Up to $1,265 from Monash Graduate Research Office as a one-off travel grant The Opportunity This is an
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qualifications or extensive experience in business analysis, research design, and statistical modelling, and a passion for translating complex data into actionable insights, this role offers a unique opportunity
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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in experimental research, including animal handling, substance administration, animal model development, protein expression, tissue processing, cell culture, imaging, and flow cytometry. In addition
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weighted sum of the risks from tens to millions of independent disease-associated SNPs from across the genome. The conventional, or gold-standard, approach to analysis of GWAS data is to fit a regression
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testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE Framework Model an AI system that combines reasoning, planning, and self-correction for software engineering tasks
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retention, models of care and healthy populations. These roles involve collaborating with a distributed team of rural health researchers to grow research capacity, attract strategic funding and deliver
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approaches, including animal models of neurodegeneration, in vitro cell culture, pharmaceutical analysis and imaging modalities. This position offers the opportunity to collaborate with national and