323 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Monash University
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Accounting Work Integrated Learning Scholarship This scholarship provides the opportunity for a number of students to undertake work placement in an established organisation in the accounting field
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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FIT Indigenous Industry Based Learning Scholarship Sir John Monash Scholarship for Excellence Indigenous students enrolling in an undergraduate Information Technology degree at Monash University
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Learning Adviser Job No.: 686817 Location: Clayton campus Employment Type: Full-time Duration: Fixed-term appointment until 31 December 2026 Remuneration: $103,178 - $113,167 pa HEW Level 07 (plus
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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Lecturer (Education Focused) - Electrical and Computer Systems Engineering Job No.: 688449 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974
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Current federated learning architectures in mobile healthcare are limited to a centralised model without considering the full continuum of mobile-edge-cloud. Additionally, to support different data
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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financial, personal, and confidential information. This project seeks to introduce machine learning and artificial intelligence techniques to effectively detect phishing websites. By leveraging these advanced
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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 688022 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951