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teaching materials, and provide guidance to postgraduate students. This position offers a dynamic and diverse work environment, as you will work with researchers, industry partners, and communities to align
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platform with global ambitions. The Position Funded through the Medical Research Future Fund (MRFF), this position will play a central role in developing computational tools and AI-based approaches
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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vibrant and inspiring research environment. The Foundation also offers a unique ‘researcher’s journey’ program that exposes our Fellows to world-leading researchers, mentoring, connections with Australia’s
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Salary packaging options Staff study assistance & paid study leave Fitness Passport & health insurance discounts Free Employee Assistance Program (coaching & counselling) Ongoing professional development
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Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Join our dynamic research
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research outputs in high quality outlets, participate in research funding applications, collaborate on joint research projects, contribute to transfer of knowledge, develop a research program, and utilise
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focused on optimisation technology and its application in architectural design. About the Role: You will work on a dynamic project aimed at developing automated optimisation approaches to enhance building
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Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides