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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across multiple data types found at VIFM. These include atomic data, text data and text documents, medical...
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The project involves design, implementation and evaluation of rule-based chatbot to support students when they study information from multiple texts, e.g., reading a few articles about global warming. The bot will support students' self-regulated learning skills which were theorised to promote...
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enrolled full time in the Bachelor of Biomedical Science or the Bachelor Science Honours program, while the third is reserved for a Bachelor of Medical Science Honours student. Total scholarship value Up
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/C++) computer codes implementing a cryptographic algorithm. Although desired, background in advanced cryptography is not a must. Application of a PET algorithm to solve a real-life problem: This
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science conference [1]; one of our papers is recognised as Clarivate Web of Science HighCite (top 1% of papers for the field of research) [2]; three of our algorithms (TS-Chief, InceptionTime and Rocket
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. This is a very broad topic that allows the student to choose a scope (e.g. the nature of the technology, participant demographics, visualisation) of interest to them.
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imaging centres in Australia, hosting many cutting-edge imaging equipment for biomedical imaging research. The Department of Data Science and AI, Faculty of IT is home to many world class research programs
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
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the Faculty of Medicine, Nursing and Health Sciences, to access a Monash education Applications Not offered in 2025 Total scholarship value Up to $30,000 Number offered One at any time See details Madeline May
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily