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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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Development Assistance Program within the portfolio of Foreign Affairs and Trade. It was established in 1982 to assist and encourage Australia’s agricultural scientists to use their skills for the benefit of
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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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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Senior AI Research Computing Engineers to play a pivotal technical leadership role in bringing this vision to life. In this position, you will act as the critical link between ambitious research goals and
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innovative universities, leading the prestigious Doctor of Medicine (MD) program and driving excellence across clinical sciences. About You As Dean of Medicine, you will provide strategic academic leadership
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accepted by the intended users due to their limited capabilities to sustain long-term interactions. In this project we propose to develop compositional vision-language models for social robots, enabling them
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3 year full time, fixed term opportunity Play a key role in shaping and delivering change across the University’s Academic Excellence Program Base Salary $146,197 - $154,260 + 17% superannuation
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Pro Vice-Chancellor (Research) Job No: 689607 Location: Clayton Campus Employment Type: Full-time, Fixed-term appointment Remuneration: A competitive remuneration package will apply Lead with vision
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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