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, and leadership to formulate and prioritise RMIT University's enterprise architecture. Key responsibilities encompass the development, maintenance, and governance of the university's architectural
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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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Visualforce pages/Lightning pages, Lightning Web Components. Skill in data modelling and working with standard and custom Salesforce objects, ensuring optimized performance and data integrity. Demonstrated
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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
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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