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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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campus Time Commitment: Up to 10 meetings per year; 3-5 hours per meeting, plus additional time for pre-reading Contact:animal.ethics@monash.edu Monash University’s School of Biological Sciences Animal
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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Senior Business Analyst - SMST Job No.: 679753 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $116,075 - $128,126 pa HEW 8 plus 17% employer superannuation Amplify your impact at a world top 50 University Join our inclusive,...
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The Opportunity The Manager – Cyber Threat Intelligence (CTI) & Security Agency Relations designs and builds a sustainable CTI practice ensuring compliance with the Australian Defence Industry Security Program
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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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David Shugg Professionalism Scholarship Industry Leaders Scholarship This Scholarship is to honour the important role that David Shugg played in the professionalism of paramedics. Throughout David’s career, he advanced and embedded professionalism in paramedic training and education in the...
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the...