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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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, including compute, storage, virtualisation and supporting infrastructure. Drive automation, monitoring, observability and AI-enabled operations to improve reliability, reduce manual effort and enable
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for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing) Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT
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schools as part of the Access Monash Mentoring Program, giving you the opportunity to develop your leadership, public speaking and teamwork skills. The Gandel family have a close connection with Monash
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!! Please note that the two PhD scholarship positions described below have been taken. While there are still opportunities for other students to work in similar areas of reserach, new applicants seeking scholarship will need to apply for the Monash University central scholarships. Exciting...
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Environmental Engineering Mechanical and Aerospace Engineering Electrical and Computer Systems Engineering Chemical and Biological Engineering Materials Science and Engineering About the Role We are seeking
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was Dean of the Faculty of Arts from 1999 to 2006. It celebrates the achievements of students who have overcome serious academic hardship and are eligible to enter the honours program. You will receive a
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through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my scholarship has provided. Am
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graduate research student scholarship program. Joining a dedicated team, your key duties will include but not be limited to: Providing high level administration support to the team across the full range
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...