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, mechanisms under complex monotonic and fatigue (cyclic) loading and assessing their effects on the residual strength degradation and consequent fatigue life. Using this information, a parametric study will be
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for this scholarship you must: Have a first-class Honours degree in Computer Science or equivalent Have strong computational, programming, algorithms, and data analysis skills Provide evidence of adequate oral and
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email: philipp.reineck@rmit.edu.au For more information about our research, please visit https://www.reineckresearch.com For more information about our research, please visit https
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(honours) in biomedical sciences or equivalent For further information and enquires contact Professor Melissa Churchill (melissa.churchill@rmit.edu.au ) For further information and enquires contact Professor
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position. Upload ALL requested documents: only documents uploaded on the platform will be considered. Review all the information and submit the form before the deadline. In parallel, remind your 2 referees
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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Nirantar at shruti.nirantar@rmit.edu.au for further information. Please contact Dr Shruti Nirantar at shruti.nirantar@rmit.edu.au for further information. The project is specifically related to Asian
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’ link at the top of this page. For further information about this position, contact Professor Dan Liu, Applied Chemical & Environmental Science at dan.liu@rmit.edu.au or please see the Position
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significant minor thesis component Masters and/or 4 years Bachelors with a significant minor thesis component Please send the following information to Assoc. Professor Jeffrey Chan by email: CV Academic
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records. A CV including any publications, awards, and relevant professional experience. For further information on the research programs, please refer to https://dfco2.org.au/research/ For further