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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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intermediate processes to restore DES composition for reuse. It will investigate the performance of existing DES(s) on mixed battery chemistries to propose a synergistic ionometallurgy design. Lastly, it will
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. This process operates under ambient conditions, utilises water as a hydrogen source, and is powered by renewable electricity. Recent advances in electrocatalyst design – enabled by operando spectroscopic
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dynamics, or seismic monitoring of rainfall. Projects are tailored to align with the candidate’s background, interests, and long-term goals.Details:Applicants will apply to the JCU HDR scholarship process in
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synchrotron X-ray characterisation of solution-processed semiconductor films Supervisor: Prof. Chris McNeill, Department of Materials Science and Engineering (Email: christopher.mcneill@monash.edu ) For further
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, biology, engineering, machine learning / data science, coding. How to apply: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information
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: This is an Expression of Interest process. To express your interest in applying, candidates must supply the following information via email to oni.scholarship@latrobe.edu.au : current academic transcript
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discourage you. If you are unsure about applying, please reach out to the contact person in the Position Description. Setting you up for success We are committed to providing a recruitment process that is fair