12 algorithm-development-"Multiple"-"Prof"-"St" Fellowship research jobs at RMIT University
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                within the teaching team, and update colleagues and students on developments in their subject area or specialisation. The Lecturer may be responsible for program leadership/course coordination. As an 
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                disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical 
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                ability to work in the field in aquatic/terrestrial environments. This can include working multiple days in the field Ability to work autonomously whilst displaying a strong commitment to work in a team 
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                -developed planning and organizational skills with proven ability to prioritise multiple tasks set and give attention to detail. Ability to work autonomously whilst displaying a strong commitment to work in a 
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                ), Power Electronics Systems Engineer Research Fellow (Level B), Smart Control Systems Engineer Join a future-focused research initiative developing the next generation of smart wind turbine blades. As part 
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                the Role The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype 
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                the School and Research Centres to deliver high-quality research aligned with the University’s strategic priorities. The role involves undertaking research and development in learning, control and optimisation 
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                safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from 
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                of aggregated amyloid proteins from a range of different viruses. The Research Fellow’s role is primarily to plan, develop and engage in high quality research projects that are aligned with the University’s 
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                approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration of their behaviour in biological environments. This role is part of an ARC