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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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Overview: Applications Close: 16 thg 4 2026 11.59 pm RMIT University Vietnam (RMIT Vietnam) is a campus of RMIT University. RMIT Vietnam is creating an innovative research, teaching and learning
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of scalable online learning modules. Please see link to more information on the project itself here: https://www.thempsfoundation.org/our-research/article/an-evidence-based-wellbeing-programme-for-dental
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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? If so, we have an exciting opportunity for you! We are seeking a Learning Success Advisor to join our innovative and dedicated University Library team. As a Learning Success Advisor, you will have the
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council
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on the Melbourne CBD campus, however, you will be required to work and/or be based at other campuses of the University and apprentice or trainee locations About You The Learning Designer plays a key role in
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The Technical Assistant supports the delivery of high‑quality teaching within Simulated Learning Environments for Medicine and Paramedicine programs. Working as part of the Teaching Technical Support team
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth