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Careers page for more contact information - https://www.rmit.edu.au/careers . We are a Circle Back Initiative Employer – we commit to respond to every applicant.
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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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to quality assurance. High level of proficiency in computer software packages with effectiveness, accuracy and attention to detail and the ability to learn new technical skills. Please Note: Appointment to
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reimagining how we deliver vocational education to create unique experiences for our students and partners, so we can: lead in practice-based learning empower learners for the future of work engage industry and
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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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Multi-modal Machine Learning-including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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team, whose aim is to provide a high quality learn to swim program to our community. Deliver fun and engaging learn to swim classes in line with Macquarie University Learn to Swim program. Utilise
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platforms (e.g., AWS), and are passionate about sharing your knowledge to support the development of job-ready graduates. You demonstrate the ability to deliver engaging and practical learning experiences
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society. About the Role UNSW’s Lifelong Learning (LLL) strategy focuses on expanding its portfolio of fully online award programs designed for working professionals looking to accelerate or transition
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are industry-engaged, practice-led and through project-based learning, create readiness for work and best practice industry engagement. Our School aims to address compelling, contemporary issues including