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style requirements with the intent to further enhance the learning environments and strategies players use to learn off the field of play. Aims 1. To assess how representative the training activities
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The Neurophysiology of Human Movement Group at the University of Adelaide is seeking a full-time PhD student for a fully funded PhD Scholarship examining “Brain oscillations and motor function in
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 1 day ago
of the PaddyVision® instrument for rapid and non-destructive rice quality analysis PhD Student Scholarships: Development of Digital Twin for Decision-Support Framework in Variable-Rate Application of Pre-Emergent
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include ethnographic and linguistic research techniques, and studies requiring immersion or other site-intensive work. These may include participant observation or interview-based strategies that must occur
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of aluminium-rich acid sulfate waters. The student will conduct fieldwork at both acid sulfate soil and acid mine drainage sites, gaining experience in sampling, preservation, and in-situ analysis of both
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Job no:517174 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B (Level A/B) $102,024 to $135,932 per annum plus an employer contribution of 17% superannuation applies
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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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stubble management. This PhD forms part of a collaborative project between Adelaide University, Murdoch University and the University of Queensland, funded by the Grains Research and Development Corporation
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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strategies to mitigate the risk of injury. You will also conduct user studies in the lab and in the wild to validate and verify the accuracy and performance of the proposed algorithms. Through this project