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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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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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an electrical and computer systems engineering degree in the Faculty of Engineering. Total scholarship value $20,000 Number offered One at any time See details Farrell Raharjo Clive Weeks Community Leadership
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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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Senior Adviser - Governance Job No.: 687118 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: HEW 8 plus 17% super Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas -...
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Program Officer Job No.: 686768 Location: Melbourne CBD Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,424 - $95,825 pa HEW Level 05 (plus 17% employer
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Disability Adviser Job No.: 686105 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $96,768- $104,450 pa HEW Level 06 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative...
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized