10 modal-analysis-machine-learning Fellowship positions at RMIT University in Australia
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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of the Australian Economic Accelerator Innovate project, this role will see you contribute to the design, analysis, optimisation, control, and full-scale testing of advanced wind turbine systems
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in the QS World University Rankings 2026. To learn more
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behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
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responsibilities will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and
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as required. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis
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conducting qualitative research, including online content analysis and interviews. Desirable but not mandatory to have experience designing and conducting quantitative research, including survey research
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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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support systems. To be successful for this position, you’ll have: Demonstrated experience in the application of LLM. Demonstrated experience in programming in Python. Ability to learn new technology and new
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these