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. This project aims to enable the widespread adoption of such tools by: AimsCreating a pre-trained model that can detect rodent body part locations in videos of common behavioural tests, without requiring manual
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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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We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
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Remuneration: Academic Roles: $118,974 - $141,283 pa Level B (plus 17% employer superannuation) Program Coordinator - $106,789 - $117,128 pa HEW Level 07 (plus 17% employer superannuation) Amplify your impact at
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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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. The Learning Adviser is responsible for the delivery of programs and services that support students academic success. The position works closely with the Learning Adviser Leads and Program Manager to develop