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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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, trusted advice. This role suits someone who enjoys problem solving, financial modelling, scenario planning and identifying improvements to financial systems and processes, someone who thrives in a
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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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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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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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clinical practice, contribute to research knowledge and strengthen community-led solutions for new models of cancer and palliative care for First Nations people in Gippsland. As the successful candidate you
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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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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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. Your proficiency in data modelling, Power BI, and HR systems, combined with strong stakeholder engagement and problem-solving skills, will be highly valued. About Monash University At Monash , work feels
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sophisticated AI models for high performance computing (HPC) environments, implementing distributed training strategies and performance tuning at scale Lead development of automated MLOps pipelines using