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designing and implementing power electronic systems for rotating machines and grid-coupled applications. Strong Research Track Record: An emerging record of high-quality research outputs (e.g., peer reviewed
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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will bring: Demonstrated ability to work in laboratory based experimental research and participate in scaled-up prototype testing and field demonstration with project team and industry partners
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techno-economic analysis to assess feasibility and performance Evidence of research output including publications, conference contributions and/or technical reports in the field. Ability to generate
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. For further information about this position, please see the Position Description hyperlinked below or contact Ricky O'Brien via email ricky.obrien@rmit.edu.au Position Description - Research Fellow, Imaging
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Jessica Bernardo (Senior Talent Acquisition Advisor) via email jessica.bernardo@rmit.edu.au. Position Description - Research Fellow - AI and Digital Capabilities Applications close on Sunday 1st February