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Research Project opportunities via the website. Student type Current Students Future Students Faculties and centres Centre for Aboriginal Studies Faculty of Business and Law Faculty of Health Sciences
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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sequelae of paediatric sepsis—encompassing physical, neurocognitive, emotional, and social impacts—follow-up care remains fragmented and inconsistent across healthcare systems. Our program is developing a
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School of Information Technology (SIT) PhD Scholarship Scheme The successful applicant will be based at Murdoch University within the School of Information Technology (SIT) and work closely with the academic staff at SIT. We are looking for PhD students to work on projects on stochastic...
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investigate online feature engineering, continual learning and uncertainty quantification. Balance performance with governance. Projects will evaluate risk-adjusted returns alongside interpretability
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manufacturing practices with real-world industry application. This full PhD scholarship is based at Swinburne’s School of Science, Computing and Engineering Technologies in Melbourne. The successful candidate
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and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
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the areas of experimental and theoretical physics, synthetic, physical and computational chemistry, material sciences and related areas. The Opportunity The OPTEXC IRTG involves 20 academics in Australia and
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk