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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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PRIMARY DETAIL 148,488 to $174,739 (HEW Level 10) plus 17% employer’s superannuation contribution and annual leave loading. FTC Full Time Role- (Hybrid Working) Until December 2026 Based
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(https://www.bookbotkids.com/ ) is an AI-powered platform and app designed to enhance children’s reading engagement and fluency through interactive AI agents using advanced language models. About the
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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orally and in writing. Experience in at least one of the following topics: mathematical biology, mathematical modelling, agent-based modelling, Bayesian inference, optimisation Demonstrated ability to use
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leadership, role model the RMIT values and behaviours and act as a change agent within a large organisation. Demonstrated conceptual, planning and organisational skills with the proven ability to lead projects
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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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, integrated assessment or agent-based models) and/or research on sustainability transitions and transformations will be highly regarded. Strong communication skills and the ability to work independently and as
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into experiments, prototypes, and minimal viable products across various domains. You’ll need a strong engineering background with applied AI knowledge particularly in large language models (LLMs). Contribute
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position is fulltime or part- time (0.7FTE) Based in Hobart, Fixed Term until June 2027. Please note that this is likely to extend beyond, subject to ongoing funding model. In return for your experience