668 information-security "https:" "https:" "https:" "https:" "https:" "Robert Gordon University" positions at Monash University
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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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operational management of Monash Rural Health’s programs across key sites in Warragul, Bairnsdale, Sale, Leongatha and Traralgon. Working in close partnership with the Director MRH Gippsland, the role is
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operational needs. There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health (VBDH). To expand further, VBDH is a discipline area that sits
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Wong Research area Emerging Technologies Understanding protein structures is fundamental in food science, but traditional 2D representations often fail to convey their complex 3D shapes and interactions
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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Senior Manager, Disability Support Services to lead a critical team that ensures students with disability can access, participate and thrive at Monash. This is a rare opportunity to influence strategy
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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