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, manage reporting and grading processes, maintain accurate records, and collaborate with academic staff to strengthen partnerships and support program development. As the successful candidate, you will
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Minds , a leadership program for first year students. Number offered One scholarship available per year Selection criteria Based on academic achievement and need. Preference will be give for a student
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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sessions and field excursions, delivering high-quality learning experiences for undergraduate and postgraduate students. In addition to teaching, this role includes developing subject material, supervising
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. An invitation to take part in Monash Minds , a leadership program for first year students. Number offered Two scholarships available. Selection criteria Awarded based on need. Preference will be given
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the possibility of renewal. A commitment to attending 8 meetings per year, plus additional follow-up reviews and training sessions. What you bring Effective interpersonal and computer skills. Ability to read large
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The Student Conduct and Complaints team has an opportunity for a Student Conduct and Risk Specialist. The Student Conduct and Risk Specialist applies high-level judgement, decision-making and investigative
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to manage competing priorities and contribute to continuous improvement in administrative systems. If you are motivated by supporting high-quality education and want to play a part in training the next
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publicly available datasets; 3) Proposing algorithms aimed at improving the accuracy of human activity detection; 4) Implementing these algorithms, evaluating their performance empirically, and comparing
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🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning, reasoning, and improving software iteratively. This project explores the development of agentic AI...