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to multi task and effectively manage competing work demands. Effective interpersonal skills in dealing with a range of individuals, cultures and situations to ensure optimal outcomes, together with high
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microfluidic designs in RMIT’s cleanroom facilities. Test the functional performance of these designs using micro particle image velocimetry (μPIV). Integration of Machine Learning for Experimental Optimization
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the challenges associated to the development of next generation solid CO2 adsorbent technologies that offer lower cost capture. The purpose of this project is to explore the fundamental science around optimizing
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Overview: RMIT University Commitment RMIT is committed to the rights of students and staff to be safe, respected, valued, and treated as an equal in their place of study and work. All staff
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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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at all levels and an effective communication style. A sound knowledge of internet search engines, databases and how to optimize searches Good attitude and ability to work independently, as well as part of
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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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, you’ll have experience in: Leading the development and advancement of the Enterprise Architecture function, establishing guidelines, frameworks, and standards to ensure excellence in architecture. Defining
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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