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information about the dielectric properties of the surface and can therefore be used to infer changes in soil moisture. A major focus of the PhD will be to develop, test and improve robust GNSS-IR processing
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of nearby molecular clouds and the Milky Way. The multidimensional structure and characteristics of bubbles, voids and cavities of galaxies. Inferring the physics driving star formation using probability
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. Perform atmospheric retrieval analyses to infer chemical compositions and temperatures from exoplanet spectra. Determine the frequency of water worlds and compare results to predictions of planet formation
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been directly observed in planet forming discs around young stars (protoplanetary discs) and is inferred to be occurring around black hole discs. My research projects use a combination of 3D and 1D
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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also
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funded as an important part of an ARC funded project Tracking Islamophobia and its Impacts on Australian Muslims’ Lives (LP250100022), conducted by Dr Susan Carland, Professor Kerry O’Brien, Dr Zarina
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modern causal inference methods. Applicants should have completed an Honours degree, a four-year bachelor’s degree, or a master’s degree with excellent results and a research component in economics
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for Bayesian/statistical modelling with uncertainty analysis or programming skills in Python, MATLAB or equivalent and a background in hydraulic, kinetic or systems models. Also highly desirable to have
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monitoring and bioelectronic medicine. The project builds on the lab's track record in flexible sensor arrays, field-effect-transistor biosensors, and functional nanomaterial interfaces, and will contribute
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. Candidate Requirements The successful applicant will have an excellent academic track record in Linguistics, multimodal communication or a related discipline. Proven experience in video ethnographic methods