321 linked-data-"https:" "https:" "https:" "University of St" positions at Monash University
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motif, hence renders the identification of the binding protein difficult. Here we propose for the first time to apply the Bayesian information-theoretic Minimum Message Length (MML) principle to optimise
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on clinical, genomics and functional dependency data (CRISPR, drug screens). Brain tumours represent the second most common cancer and the most common solid tumour in childhood in general. Paediatric brain
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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and influence diverse stakeholders, build high-performing teams, and use data to inform decisions and optimise performance. Importantly, you are motivated to drive positive change. About Monash
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an Australian citizen, an Australian Permanent Resident or a New Zealand citizen. For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor of Philosophy ● 3292 - Master of
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multidisciplinary cohort of clinicians and researchers based at Monash Newborn and Department of Paediatrics. The Monash Newborn research group also has a close link with the Ritchie Centre at The Hudson Institute
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information about behavioural patterns, but scoring this manually is time consuming. For this reason, machine learning solutions have been developed to automate behavioural prediction [5-12]. DeepLabCut [5] is
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linked pages are in Chinese. You may wish to utilise the 'Translate this page' function within Google Chrome if you require an English translation. This scholarship is also available to students
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academics into its Software Systems and Cybersecurity and Data Science & AI Departments. The Department of Data Science & AI is seeking a Teaching & Research academic working in Large Language Models and