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PhD Scholarship Opportunity: Monash University Accident Research Centre - Driver Health Study Job No: 684883 Location: Clayton Campus Employment Type: Full-time Duration: 3.5 years fixed-term
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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 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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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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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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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
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the Division of Research and Innovation as part of the co-investment from the University of Adelaide. This program will support twelve full-time PhD students commencing studies from 2025 to 2027. In 2025, we