543 information-security-"https:"-"https:"-"https:"-"Dr" positions at Monash University
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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extraordinary ideas - and the people who discover them Join Monash Arts – Where Innovation Meets Excellence! Monash Arts is one of Australia's largest and most dynamic arts faculties, excelling in humanities
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communications function that serves the whole of Monash. This is a high-impact role: you’ll be part of a motivated, brand-focused media and communications team that proactively sources, shapes and delivers
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Engineering Excellence Scholarship Sir John Monash Scholarship for Distinction This scholarship is for commencing Engineering students and is awarded based on academic achievement. Up to five
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discover them The Opportunity The Department of Econometrics and Business Statistics (EBS) is seeking applications from suitably qualified Sessional Staff for engagement into secure modes of employment via
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by
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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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- and many-body physics in scenarios ranging from superfluids to quantum impurity problems to light-matter coupled systems. A large part of my work is carried out within the Australian Centre
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electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our theoretical understanding of gravity and the most extreme regions of the Universe. I am a member of the
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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