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mathematical concepts such as optimization, linear algebra, probability, and statistics, relevant to AI and quantitative modelling. Technical proficiency in programming66: Demonstrated programming skills with
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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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part of the scholarship. Scholarship Details Maximum number awarded 1 Eligible courses Any HDR student wishing to study in the Health field Eligibility criteria Full-time enrolment in a PhD program at
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
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PhD Opportunity This project will involve epidemiologic analysis of FluTracking and published data to explore how self-testing and vaccination behaviour have evolved over time and characterise
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transformation in the delivery of Australia’s Opioid Dependence Treatment Program (ODTP) is underway. Reforms commencing in the second half of 2023 will dramatically reduce the costs of treatment. In collaboration
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intervention uptake, effects and adherence vary across groups. In the context of this PhD research opportunity, interventions of interest include, but are not limited to: screening programs, vaccination, life
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statistics. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via
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are looking for a motivated PhD candidate with an interest in clinical and emotion research. Candidates should ideally have strong skills in quantitative statistics. Must be eligible to enrol in PhD programs