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primal in sufficient detail to evaluate yield and speed performances, as well as other factors that influence efficiency, to optimize them. The research can potentially draw on previous studies in
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, optimization, or multi-agent interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Optimization and
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, optimization, or multi-agent interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Optimization and
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simulation experiments include many factors. For screening, different designs, such as orthogonal supersaturated, definitive screening, A-optimal, or D-optimal designs are proposed in the literature. A- or D
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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validation techniques to resolve intricate inconsistencies and establish robust standards for dataset reliability. Configure and optimize the costing and profitability model with precise, structured data
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Optimizing a 3D microfluidic IVD model to study cell responses to wear particles, refining culture conditions, and analysing cytotoxic and inflammatory mechanisms. Optimizing a 3D microfluidic IVD
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of this project is to explore the fundamental science around optimizing novel solid materials for CO2 capture with a particular focus on flue gas streams and the effect of other components in the stream such as NOx
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the reliability of AI-based systems, for which traditional metrics like coverage and mutation score is infeasible. Additionally, the project explores 'green' testing strategies to optimize energy consumption
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for Experimental Optimization: Employ machine learning and AI to optimize the experimental parameter space, minimizing the need for extensive experimental variations. Validation with Real Blood Samples: Conduct