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Technologist is expected to maintain up-to-date specialist knowledge of new and innovative methodology, equipment, technology, data management and analysis. The role will work closely with management in
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education in Australian Higher Education. Proven ability to build and maintain productive relationships with key partners. Excellent business analysis, project management, and strategic thinking skills
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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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cosmolgy, galaxy evoltion and stellar astrophysics. Students in my group primarily perform numerical simulations of stars, in order to study broad questions related to the origin of the elements in
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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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stellar interiors, birth properties of black holes and neutron stars, supernova light curves and spectra, gravitational waves, neutrino astrophysics, the production of heavy elements stellar explosions, and
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Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by bringing rich contextual information to the analyst’s workspace. Despite the technological capability to support ICDA
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and
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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis