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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 the value of feedback, it
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Allied Health & Nursing Service Learning Program and workforce development initiatives across North-West Queensland. The Opportunity In this pivotal leadership role, you will oversee the planning, delivery
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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Statistical Methods, Automated Planning and/or Reinforcement Learning.
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basis for 2 years. Base salary range: $104,243 – $115,661 p.a. plus 17% superannuation. About the area The Office of Enterprise Education provides strategic leadership for UWA’s industry‑engaged learning
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, Collaborative Environment Work side by side with other skilled tradespeople and engineers. Receive real support when you need it, you’re never on your own. Learn from experienced colleagues and develop new skills
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learning to guide the self-aware learning and network formation. As such this expected to be a purely mathematical and computational project. To do this project you would need to apply for a Monash
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modules that embed AI and/or machine learning within core curricula, employing tools being deployed in legal practice in Australia and/or abroad Undertake excellent, original research in law and technology
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(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
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stakeholders. Advanced computer literacy, including proficiency in Microsoft Office and the ability to quickly learn and navigate university systems and placement platforms. Superior time management skills, with