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leading research in this area and has designed some of the most efficient methods to solve MAPF. Companies like Amazon have funded the optimisation group at Monash to do research on MAPF as it relies
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neurophysiological variable estimation framework we have been developing that can be applied to all kinds of brain activity recordings. There are two projects to be completed under this program and we are looking
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Digital Sky Survey" "Data-driven methods for stellar spectroscopy" "Chemical abundances in star clusters using Korg, the first spectral synthesis code developed in two decades" web page For further details
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; trying to understand why certain elements are more abundant than others; or how the different populations of stars in globular clusters arose. How can we better approximate mixing during core He burning
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture
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, representing a significant reduction of the cost of the MRI scan per patient. This project will develop cutting edge data processing methods for mobile MRI scanners and testing in clinical enviroment.
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the utterance. In this project, we develop effective methods for translating text using the context, e.g. the rest of the sentences in the document or the conversational history. The need to leverage the context
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and food chains. These methods implement evolutionary processes in virtual populations of software agents and explore the evolution of their behaviour in diverse environments. Many behaviours
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In this project, we will use machine learning methods to diagnose the health status of bee colonies and individual bees. Bee populations are threatened worldwide due to a number of factors
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in