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researchers, teachers, inventors, designers and gamechangers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and
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exceptional STEM researchers, teachers, inventors, designers and gamechangers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master
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Integrated Learning (WIL) Office. This role is pivotal in providing administrative support for WIL across Health & Biomedical Sciences, Engineering, Computing Technologies and Science Programs. The WIL
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About You The Program Coordinator (Study Tours), Asia Impact, supports RMIT University’s vision to be a leading university of impact in the Asia Pacific region through coordinating the project and
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working collaboratively across teams to achieve shared goals. You bring a student-centred mindset and enjoy contributing to programs that enhance student life both on campus and globally. You are proactive
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challenges that require thoughtful, bespoke, and systems-based solutions. Working in alignment with the RMIT Mental Wellbeing Strategic Action Plan (2020–2025) and relevant regulatory obligations, including
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Environmental Biotechnology Laboratory led by Distinguished Professor Andy Ball , based in the Department of Biology, School of Science at RMIT University (Bundoora campus). This role is part of the Solving
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technical support and expertise to staff and students across the College’s diverse activities—including academic programs, research, projects, events, and exhibitions. This role primarily supports workshops
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vocational competence for the educational programs you deliver and assess. To be successful in this position, you’ll have: Effective interpersonal and communication skills relevant to teaching and consultancy
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, and managing key data submissions to external regulatory and benchmarking bodies. This position also contributes significantly to the successful execution of enterprise-wide change programs through data