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System Interferometric Reflectometry (GNSS-IR) can be combined with satellite Earth observation and land-surface modelling to produce more accurate, spatially detailed and temporally frequent soil moisture
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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-bandwidth continuous magnetic sensing of an ensemble of electric spins Developing a spatially sensitive optical magnetometer catheter probe Ultra-sensitive zero-field using quantum anti-crossings web page
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spatial and temporal dimensions Quantitative functional lung imaging using near field X-ray speckle Ultra-low dose Computed Tomography for lung, brain or breast imaging. Dark field X-ray imaging Translating
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to anthropogenic N2O emissions. 2. What the environmental conditions are that balance N2O production and uptake in artificial aquatic ecosystems. 3. Spatial and temporal uncertainties associated with aquatic N2O
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. I am also interested in interdisciplinary research with a machine learning foundation. So if you’re interested in projects such as applications of ML in tracking geo-spatial changes (e.g., climate
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awarded 1 Eligible courses Enrolled in HDR Spatial Sciences Eligibility criteria Australian or New Zealand citizen or an existing Australian Permanent Resident Full-time enrolment Successful recipient must
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align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students