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Master of Engineering New Specialisation Scholarship Sir John Monash Fee Scholarship The Monash Master of Engineering - Specialisation Launch Scholarship is for commencing students in the Master of
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short-(Illumina) and long-read sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Assoc. Prof. David Dowe will be the primary
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intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system
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malfunction and is associated with high morbidity and mortality. Current imaging techniques of fibrosis are indirect and possess substantial limitations, hence the medical need for accurate and sensitive
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techniques in bacterial genomics, including both short- (Illumina) and long-read sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes
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would suit a mathematics or computer science student with a background in continuous optimisation (linear and non-linear programming) and discrete optimisation (mixed integer programming). An ability
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The objective of this project is to use machine learning techniques to help with the drug discovery by modelling structural and sequential data. This project is supported by a supervision team with both machine learning background and Pharmaceutical background with real Pharmaceutical data...
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In this project we are interested in exploring new paradigms for solving Combinatorial Optimisation problems, and generally NP-hard ones. One direction of research could consist in using approximation algorithms for deriving dual bound within a branch-and-bound algorithms. Other directions could...
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage threatened species and ecosystems, and to control invasive species and diseases. This requires a...
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Project description: On behalf of the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), we will establish the role of artificial intelligence (AI) deep learning to improve the prediction of clinical and longer-term patient-reported outcomes following distal radius (wrist) fractures. The...