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Employment Type: Full-time Duration: 4-years Remuneration: $48,071 per annum (2026 rate) The Opportunities The project is under the CSIRO’s Industry PhD (iPhD) Program that brings together an industry partner
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fixed-term appointment Employment Type: Full-time Potential Supervisors: Professor Diego Ramírez-Lovering, Dr Michaela Prescott, Dr Tanvi Maheshwari, Dr Brendan Josey, Kerrie Burge, Professor Tony Wong
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the Healthy Working Lives Group within the School of Public Health and Preventative Medicine, this PhD is supported by an Australian Laureate Fellowship program, Reforming Work Disability Benefit Systems
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analysis, modelling & simulation and policy evaluation. The candidate will work under the supervision of Associate Professor Rohan Sweeney and Dr. Maame Esi Woode and other researchers at the Centre
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scholarship name under Research Program Funding of the application Select Professor Claire Colebrook as the proposed main supervisor (final supervision arrangements to be confirmed upon appointment
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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-Chancellor’s Distinguished Professor Jacqui True, Vice-Chancellor’s Distinguished Professor Asher Flynn, Dr Trang Vu and Dr Katie Buchhorn. Candidate Requirements Candidates with backgrounds in computer
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to five PhD scholarships are available. These scholarships will be awarded to competitive applicants who are interested in advancing research to tackle the contemporary and future challenges associated with
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distribution functions. Total content of H2 in the solar neighbourhood and nearby galaxies and how they compare to other gas/dust tracers. Extinction mapping from resolved stars in nearby galaxies. Studying mass
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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