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research and cybersecurity research, notably one current direction is on advancing the latest generative AI models for cybersecurity, or vice versa: using cybersecurity to attack AI. The student is free
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model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project will focus on developing and applying novel machine learning and AI methods to improve
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, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
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Centre for Health Economics, Monash Business School, PhD Program 2026 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
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expertise in advanced econometric techniques, data modelling, and statistical analysis. The Master of Applied Econometrics program combines rigorous coursework with hands-on experience, equipping you with
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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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for Health Economics is seeking a Level A Research Fellow to play a key role in an ongoing research program examining the effectiveness and cost-effectiveness of behavioural interventions, with a particular
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control