337 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at Monash University
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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Information Technology Industry-Based Learning Placement Grant This grant is awarded to high achieving students in the Faculty of Information Technology who undertake a placement with an industry
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networks that can be trained to do machine learning and AI tasks in a similar way to artificial neural networks. In this project you will develop machine learning theory that is consistent with the learning
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encoded in computer software and can be used as decision support systems (DSS). These may be used by decision-makers with different domains of expertise than the analysts who built the DSS system. Therefore
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be given to students who attended Coleraine Primary School, St Joseph's School, Port Fairy Consolidated School, St Patrick's Primary School, Balmoral High School or Balmoral Consolidated School
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Clinical Innovation and Informatics Stream Coordinator Job No.: 686703 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time, fraction (0.6) Duration: 12 month fixed-term appointment
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Synergy Manager - ICU-SYNERGY Program – Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) Job No.: 688677 Location: 553 St Kilda Road, Melbourne Employment Type: 0.8FTE Duration
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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are: Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context Detect healthcare-associated transmission of AMR in real-time and transform outbreak
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation