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to providing a healthy and safe working, research and learning environment that enhances wellbeing across our community. As part of this commitment, all new employees are required to undergo background checks
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languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks, including
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phases of capital or major projects, preferably in higher education or a comparable environment. Proven ability to translate strategic directions and University learning and research pillars into Precinct
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relationships with other educational institutions. Academic Delivery and Quality Assurance Work with Coordinators, Academic English Managers, and Heads of Program to ensure quality and consistency in learning and
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Assistance Program (EAP) access and discounted childcare options. Access to professional development training via LinkedIn Learning. A positive workplace culture with a staff reward program, and a staff
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#RMITVietnam Applications Close: 9 thg 7 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 culture. We
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the future of our campuses, learning environments and student experience. This is an opportunity to contribute to a diverse portfolio of projects ranging from teaching and research spaces through to campus
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and contributing to excellence in teaching, curriculum innovation and student learning. Building strategic partnerships and contributing to the School’s leadership, growth and global reputation
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systems, intelligent sensing, advanced materials, and nanoscale device technologies. The successful candidate will develop machine learning approaches (including generative models and physics-informed
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Demonstrated experience in the use of a range of computer applications and the ability to quickly learn new technologies, including Microsoft Office Programs, Service Now, e recruitment and onboarding systems