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variables such as network connection strengths between neural population networks underlying brain activity. We work with different physiological data modalities such as intracranial and scalp
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interested in exploring how deceptions, such as camouflage or mimicry, have impacted the evolution of species. Recent advances in the modelling of deception, using information-theoretic techniques, allow
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development process for DL, covering requirement analysis, data collection and labeling, data cleaning, network design, training, testing, and operation. Required knowledge deep learning, natural
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program approved by the Westpac Bicentennial Foundation selection panel. How to apply For more information or to apply, see the Westpac Future Leaders Scholarship page . This scholarship cannot be deferred
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short-(Illumina) and long-read sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Assoc. Prof. David Dowe will be the primary
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and evaluate a new dynamic view of documents with uninterrupted body text, flexible navigation, and contextual information—figures, references, definitions, etc—that are displayed in a separate view
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This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof). One potential area of
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The project involves design, implementation and evaluation of rule-based chatbot to support students when they study information from multiple texts, e.g., reading a few articles about global
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible
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! Possible projects involve massive stellar binaries, gravitational-wave data analysis, astrostatistics, dynamics in galactic centres and globular clusters, probes of general relativity in the strong-field