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requirements of Monash for PhD (https://www.monash.edu/graduate-research/future-students/apply); Knowledge of machine learning (would be a plus if familiar with NLP and Medical AI); Knowledge of cybersecurity
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Primary supervisor David Dowe Co-supervisors Dr Nenad Macesic Research area Machine Learning Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia
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Primary supervisor David Dowe Co-supervisors Dr Nenad Macesic Research area Machine Learning Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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Primary supervisor Levin Kuhlmann Research area Machine Learning What makes a machine conscious? This PhD would be at the intersection of Philosophy, AI and neuroscience. You would study the latest
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of AMR infections. The specific aims of this project are: 1. Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context. 2. Detect
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scholarship. Skills in graph databases (Neo4J), machine learning and natural language processing are desirable. Project funding Project based scholarship Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health Learn more about minimum entry requirements .
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scholarship. Skills in graph databases (Neo4J), machine learning and natural language processing are desirable. Project funding Project based scholarship Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health Learn more about minimum entry requirements .
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. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk RNAseq; scRNAseq; Linux/unix; spatial transcriptomics URLs/references https://ramialison
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Research area Cybersecurity On-device machine learning (ML) is rapidly gaining popularity on mobile devices. Mobile developers can use on-device ML to enable ML features at users’ mobile devices