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for suitability. Project supervisor: Inge Koch [email protected] This project includes big functional data from proteomics MALDI mass spectrometry imaging with an external supervisor and data expert from South
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and clearly labeled. The ideal PhD candidate should possess strong analytical and problem-solving skills, a passion for research, and the ability to work effectively in a collaborative team environment
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the explainability of AI, especially for users and those likely to get affected. This PhD will develop a framework to identify the analytical rationale behind AI systems. Through an extant review of academic and
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understanding of food chemistry especially grain chemistry and composition, analytical methods, food processing, data collection and analysis. In this project various advanced analytical methods will be applied
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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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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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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Coordinator) Additional support for primary data collection, editing and other research purposes up to the value of $10,000 over the course of the PhD candidature (at the approval of the Dean or HDR Coordinator
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Electronics and Communications Computer Systems 1 Bachelor of Engineering (single or double degree) Aerospace Mechanical Automotive Manufacturing Mechatronics Sustainable Systems Electrical Computer and Network