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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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letter. If you do not receive a scholarship and you have not commenced your studies as per your offer letter, please ask your agent to request a review of your application. If you have applied without
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your admissions offer letter. If you do not receive a scholarship and you have not commenced your studies as per your offer letter, ask your agent to request a review of your application. If you have
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Applying guide Study abroad and exchange Events Ask us a question Agent resources Short courses and professional education Short courses and professional education Bringing together knowledge from across
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GIS-Based Model for Active Citizenry Street-Level Environment Recognition On Moving Resource-Constrained Devices Bayesian Generative AI (PhD Project) Explainability and Compact representation of K-MDPs
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Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
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on mitochondria may be the first step in developing the effective therapeutic agent for Alzheimer's disease. The proposed project will directly evaluate the effect of sodium butyrate on mitochondria which has been
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career trajectories. The goal is to design better incentives for scientists to produce their best work. Our research group studies how groups of agents can learn to cooperate. Most of our research focuses
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everyone adopts such a free-riding strategy the public good collapses [1]. In this project we study how boundedly rational agents can learn to coordinate their actions for successful collective action. We