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networks, Bayesian inference, computational neuroscience, mathematics.
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) in Australian healthcare, targeting elective hip and knee replacements for older people. Your work will help shape evidence-based care, reduce complications, shorten hospital stays, and enhance
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spans both healthy immune responses and the mechanisms behind immune dysfunction, aiming to improve health outcomes through targeted research. https://www.monash.edu/medicine/translational/immunology
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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implement personalised cancer treatments, based on the unique molecular footprints that define a patient’s tumour. HMPPM goes beyond genomic sequencing to identify biomarker coupled targeted therapies
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the Faculty of Science. We will apply Bayesian approaches such as the information-theoretic minimum message length (MML) principle and other approaches to develop a path towards statistically-optimal algorithms
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, communities and homes to prevent problem behaviour and mental ill-health. It is expected the project will lead to the development of systemic and targeted interventions to improve local and global health
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for the prediction task, such as predicting the bioassay of a given chemical network. One of the approaches that will be considered will be the Bayesian information-theoretic Minimum Message Length (MML) principle
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surveys and targeted observations are used to search for active galactic nuclei, trace star formation and measure stellar kinematics within galaxies. How galaxies grow within structures dark matter can be
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back at least as far as 1954 (Dowe, 2008a, sec. 1, pp549-550). Discussion of how to do this using the Bayesian information-theoretic minimum message length (MML) approach (Wallace and Boulton, 1968