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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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/or relevant work experience Curriculum Vitae Academic transcript Preferable background and/or previous experience or publications in materials science, chemistry, engineering physics, nanotechnology
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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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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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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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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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, 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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, and regression testing. Maintain and enhance calculated fields to optimize integration performance and efficiency. Proven experience in Workday integrations, including Studio, EIB, Cloud Connect, PICOF
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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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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