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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an outstanding applicant interested in connecting spatial and spectral information to understand complex
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scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an outstanding applicant interested in connecting spatial and spectral information to understand complex
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, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
-microscopy, proteomics and metabolomics. This project will study large protein secretion systems, drug-efflux pumps and lipid transport towers to provide means to integrate spatial information and metabolic
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ILI incidence and respiratory virus self-testing. The FluTracking team is a highly skilled and motivated group of epidemiologists who collaborate nationally and internationally to advance ongoing
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for estimating sustainable city size by identifying key determinants (e.g., accessibility, agglomeration, emissions, equity), testing spatial boundary sensitivity, and broadening sustainability
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Michael Curtis and Dr Samantha Colledge-Frisby. Professor Dietze is one of Australia's leading alcohol and other drug epidemiologists with a significant national and international profile, and a proven
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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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of epidemiologists who collaborate nationally and internationally to advance ongoing surveillance activities and minimise the global burden of acute respiratory infection. This PhD project will use data from