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Exciting opportunities to work on a new Discovery Project: Enhancing learner feedback literacy using AI-powered feedback analytics! Project description: The ability to understand and act on feedback is one of the most powerful drivers of learning success. Despite decades of research affirming...
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research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy
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of the University’s rich experience agenda, including the Parbinata program. This flagship initiative will transform the Clayton campus into a hub for Indigenous knowledge sharing, integrating First Nations
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their potential at Monash University. The scholarship program amplifies diversity in STEM through empowering scholarship recipients to achieve academic success. Total scholarship value $6000 Number offered 10 See
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of computer-based records systems/databases Relevant tertiary qualifications in finance or business with significant relevant experience and skills in management and current membership of the Institute
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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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Pro Vice-Chancellor (Researcher Development) Job No: 688391 Location: Clayton Campus Employment Type: Full-time, Fixed-term appointment Remuneration: A competitive remuneration package will apply Champion the next generation of researchers and research excellence at one of the world’s leading...
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Senior HR Adviser - Multiple Opportunities Job No.: 687663 Location: 211 Wellington Road, Mulgrave & Clayton campus Employment Type: Full-time and Part-time (0.6 FTE) opportunities Duration: Fixed-term appointments until 31 Dec 2026 Remuneration: $106,789 - $117,128 pa HEW Level 07 (plus 17%...
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collaboratively with colleagues, strong computer literacy with proficiency in Microsoft Office and relevant university systems, and the ability to learn new software as required. Experience working with schools
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...