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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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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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a best practice model of Learning Advising across Monash. This position is central to ensuring our Learning Advising model is relational, accessible, inclusive, intentional and proactive, reflecting
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and contributing to the development of national-scale models to study and evaluate various potential pathways for renewable energy transition and transport electrification, as well as their demands
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) for an international student 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 exceptional
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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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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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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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profile through laboratory experimentation, advanced microstructural characterisation and thermodynamic and kinetic modelling, and you are motivated to contribute to high quality publications and to