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To address this limitation, this project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling. High
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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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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in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
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in GETCO2. To be successful in this position, you will have: Evidence of experience in both computational approaches (machine learning and density functional theory) to inorganic materials discovery
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& Software Systems. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence, Search and Recommendation, Human-Computer Interaction, Data
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Recommendation Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science, Machine Learning, and Big Data Analysis Cybersecurity Distributed Computing Software Engineering
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 140th globally and 11th in Australia in QS World University Rankings 2024. To learn more